Triple
T4167978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wedding Singer |
E84489
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Chad Beguelin
Chad Beguelin is an American playwright and lyricist known for his work on Broadway musicals such as The Wedding Singer, Aladdin, and The Prom.
|
E419364
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chad Beguelin | Statement: [The Wedding Singer, lyricist, Chad Beguelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chad Beguelin Context triple: [The Wedding Singer, lyricist, Chad Beguelin]
-
A.
Greg Yaitanes
Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
-
B.
Justin Marks
Justin Marks is an American screenwriter best known for writing Disney's live-action adaptation of The Jungle Book (2016) and other film and television projects.
-
C.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
D.
Karey Kirkpatrick
Karey Kirkpatrick is an American screenwriter and director known for his work on animated and family films such as Chicken Run, Over the Hedge, and Smallfoot.
-
E.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chad Beguelin Triple: [The Wedding Singer, lyricist, Chad Beguelin]
Generated description
Chad Beguelin is an American playwright and lyricist known for his work on Broadway musicals such as The Wedding Singer, Aladdin, and The Prom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chad Beguelin Target entity description: Chad Beguelin is an American playwright and lyricist known for his work on Broadway musicals such as The Wedding Singer, Aladdin, and The Prom.
-
A.
Greg Yaitanes
Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
-
B.
Justin Marks
Justin Marks is an American screenwriter best known for writing Disney's live-action adaptation of The Jungle Book (2016) and other film and television projects.
-
C.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
D.
Karey Kirkpatrick
Karey Kirkpatrick is an American screenwriter and director known for his work on animated and family films such as Chicken Run, Over the Hedge, and Smallfoot.
-
E.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c573788190a60ab3f83b07a6f6 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589ec8a60819099647577b7ab9be1 |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58b22a1d88190a16e1c1e41291f5a |
completed | March 14, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b8bfb288190a097942b5b8c366e |
completed | March 14, 2026, 4:23 p.m. |
Created at: March 9, 2026, 3:44 p.m.