Triple
T15939278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headlines |
E386516
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Lamar Taylor |
E1028187
|
NE FINISHED |
How this triple was built (2 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: Lamar Taylor | Statement: [Headlines, musicVideoDirector, Lamar Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamar Taylor Context triple: [Headlines, musicVideoDirector, Lamar Taylor]
-
A.
Lamar Taylor
chosen
Lamar Taylor is a songwriter best known for his work on contemporary R&B and hip-hop tracks, including contributions to major hits like Usher's "Love in This Club."
-
B.
Lamar Williams
Lamar Williams was an American bassist best known for his work with the Allman Brothers Band in the 1970s, where he helped shape their Southern rock sound.
-
C.
Marlon Taylor
Marlon Taylor is an American former child actor best known for playing young Mike Hanlon in the 1990 television miniseries adaptation of Stephen King’s "It."
-
D.
Lamar Lundy
Lamar Lundy was an American defensive end best known as one of the Los Angeles Rams’ famed “Fearsome Foursome” defensive line of the 1960s.
-
E.
Larry Taylor
Larry Taylor was a British character actor known for his roles in mid-20th-century film and television, particularly in action and adventure productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7455c48190bfad24eb8905426d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.