Triple
T19258239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me All the Way |
E481576
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lou Pace
Lou Pace is a music producer known for his work on the song "Take Me All the Way."
|
E1366950
|
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: Lou Pace | Statement: [Take Me All the Way, producer, Lou Pace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Pace Context triple: [Take Me All the Way, producer, Lou Pace]
-
A.
Troy Bowles
Troy Bowles is the son of NFL head coach Todd Bowles and a high school football linebacker who has been a notable college recruit.
-
B.
Orlando Pace
Orlando Pace is a Pro Football Hall of Fame offensive tackle best known for anchoring the St. Louis Rams' dominant offensive line during their "Greatest Show on Turf" era.
-
C.
Aaron Pierce
Aaron Pierce is a dedicated and principled Secret Service agent from the television series "24," known for his loyalty to President David Palmer and opposition to corrupt leaders.
-
D.
Joby Warrick
Joby Warrick is an American journalist and author known for his Pulitzer Prize–winning investigative reporting and nonfiction books on national security and the Middle East.
-
E.
Doug Madsen
Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
- 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: Lou Pace Triple: [Take Me All the Way, producer, Lou Pace]
Generated description
Lou Pace is a music producer known for his work on the song "Take Me All the Way."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lou Pace Target entity description: Lou Pace is a music producer known for his work on the song "Take Me All the Way."
-
A.
Troy Bowles
Troy Bowles is the son of NFL head coach Todd Bowles and a high school football linebacker who has been a notable college recruit.
-
B.
Orlando Pace
Orlando Pace is a Pro Football Hall of Fame offensive tackle best known for anchoring the St. Louis Rams' dominant offensive line during their "Greatest Show on Turf" era.
-
C.
Aaron Pierce
Aaron Pierce is a dedicated and principled Secret Service agent from the television series "24," known for his loyalty to President David Palmer and opposition to corrupt leaders.
-
D.
Joby Warrick
Joby Warrick is an American journalist and author known for his Pulitzer Prize–winning investigative reporting and nonfiction books on national security and the Middle East.
-
E.
Doug Madsen
Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8752488190ae2dfd2d79373a4b |
completed | April 20, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705eb7c4c81909b3539889503669b |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a07070fe8688190a0abee0361a2abba |
completed | May 15, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070bcdf19c8190a4f734052d5f3573 |
completed | May 15, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:28 p.m.