Triple
T4192075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spamalot |
E89058
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
|
E427014
|
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: Michael Jenkins | Statement: [Spamalot, producer, Michael Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jenkins Context triple: [Spamalot, producer, Michael Jenkins]
-
A.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
B.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
C.
Terrence Jenkins
Terrence Jenkins, better known as Terrence J, is an American actor, television host, and entertainment personality recognized for co-hosting BET's "106 & Park" and appearing in films like "Think Like a Man."
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
- 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: Michael Jenkins Triple: [Spamalot, producer, Michael Jenkins]
Generated description
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Jenkins Target entity description: Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
A.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
B.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
C.
Terrence Jenkins
Terrence Jenkins, better known as Terrence J, is an American actor, television host, and entertainment personality recognized for co-hosting BET's "106 & Park" and appearing in films like "Think Like a Man."
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034169f88190a8eb170ba6008b79 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b76abd848190819c7625a3b42c2f |
completed | March 14, 2026, 7:30 p.m. |
| NEDg | Description generation | batch_69b5b7ffb94c8190b8eeb56de7bb11dd |
completed | March 14, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8945f888190adcfa98ba410b6e2 |
completed | March 14, 2026, 7:35 p.m. |
Created at: March 9, 2026, 3:46 p.m.