Triple
T20031585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seeds |
E497139
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Jeff Prentice
Jeff Prentice is a musician best known as a member of the rock band The Seeds.
|
E1416948
|
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: Jeff Prentice | Statement: [The Seeds, hasMember, Jeff Prentice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Prentice Context triple: [The Seeds, hasMember, Jeff Prentice]
-
A.
Keith Prentice
Keith Prentice was an American actor best known for his role in the groundbreaking stage and film versions of "The Boys in the Band."
-
B.
Jim Preston
Jim Preston is the main protagonist of the science fiction film "Passengers," a mechanical engineer who awakens early from hibernation on a starship and faces life-altering moral and survival dilemmas.
-
C.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
D.
Dan Priddy
Dan Priddy is a music producer known for his work on pop records, including contributions to Mika’s album "My Name Is Michael Holbrook."
-
E.
Tony Puryear
Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
- 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: Jeff Prentice Triple: [The Seeds, hasMember, Jeff Prentice]
Generated description
Jeff Prentice is a musician best known as a member of the rock band The Seeds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Prentice Target entity description: Jeff Prentice is a musician best known as a member of the rock band The Seeds.
-
A.
Keith Prentice
Keith Prentice was an American actor best known for his role in the groundbreaking stage and film versions of "The Boys in the Band."
-
B.
Jim Preston
Jim Preston is the main protagonist of the science fiction film "Passengers," a mechanical engineer who awakens early from hibernation on a starship and faces life-altering moral and survival dilemmas.
-
C.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
D.
Dan Priddy
Dan Priddy is a music producer known for his work on pop records, including contributions to Mika’s album "My Name Is Michael Holbrook."
-
E.
Tony Puryear
Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66292a80c81908adf95766b3b4ac4 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c6343408190942698824da613e4 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083e908f1481909a120588f975e9cd |
completed | May 16, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083eed04448190a74e250311f66bd1 |
completed | May 16, 2026, 9:54 a.m. |
Created at: April 11, 2026, 3:36 p.m.