Triple
T5595035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My All |
E146972
|
entity |
| Predicate | hasMusicVideoDirector |
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: [My All, hasMusicVideoDirector, Diane Martel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Martel Context triple: [My All, hasMusicVideoDirector, 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.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
C.
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.
-
D.
Melissa Sasse
Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
-
E.
Cynthia Murphy
Cynthia Murphy is a central maternal character in the musical "Dear Evan Hansen," known as the caring but emotionally strained mother of Connor and Zoe Murphy.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020be029881908c5586838382c8f2 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d38161881909af592db1180e55f |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:38 p.m.