Triple
T7949797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walking with a Panther |
E184584
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
|
E738143
|
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: Brian Latture | Statement: [Walking with a Panther, producer, Brian Latture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Latture Context triple: [Walking with a Panther, producer, Brian Latture]
-
A.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
B.
Ben Lutch
Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
-
C.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
-
D.
Joe Layton
Joe Layton was an American director and choreographer known for his innovative work on Broadway musicals and stage productions.
-
E.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
- 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: Brian Latture Triple: [Walking with a Panther, producer, Brian Latture]
Generated description
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Latture Target entity description: Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
A.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
B.
Ben Lutch
Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
-
C.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
-
D.
Joe Layton
Joe Layton was an American director and choreographer known for his innovative work on Broadway musicals and stage productions.
-
E.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d4b34c481908cc32513063e5f02 |
completed | April 2, 2026, 11:04 a.m. |
| NEDg | Description generation | batch_69ce4f556a408190b404481a32b2457b |
completed | April 2, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce503737a4819083ebf9f410eac826 |
completed | April 2, 2026, 11:17 a.m. |
Created at: March 30, 2026, 5:10 p.m.