Triple
T14190992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horse & Carriage |
E351711
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Diane Martel |
E135700
|
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: Diane Martel | Statement: [Horse & Carriage, musicVideoDirector, Diane Martel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Martel Context triple: [Horse & Carriage, musicVideoDirector, Diane Martel]
-
A.
Diane Martel
chosen
Diane Martel is an American music video director and choreographer known for her work on numerous high-profile pop and R&B videos.
-
B.
Carolyn Martens
Carolyn Martens is a high-ranking, enigmatic British intelligence officer in the TV series "Killing Eve," known for her dry wit, moral ambiguity, and manipulative brilliance.
-
C.
Michelle Mitchenor
Michelle Mitchenor is an American actress best known for her role as Detective Sonya Bailey on the television series "Lethal Weapon."
-
D.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
E.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280861fc81908c342fc229a526f3 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:04 a.m.