Triple
T5246161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love You to Death |
E118463
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Anne V. Coates |
E224130
|
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: Anne V. Coates | Statement: [I Love You to Death, editor, Anne V. Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne V. Coates Context triple: [I Love You to Death, editor, Anne V. Coates]
-
A.
Anne V. Coates
chosen
Anne V. Coates was an acclaimed British film editor best known for her Oscar-winning work on the epic film "Lawrence of Arabia" and her influential decades-long career in cinema.
-
B.
Margaret Cox
Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
-
C.
Susan V. Booth
Susan V. Booth is an American theater director and arts leader known for her prominent role as artistic director of major regional theaters, including Chicago’s Goodman Theatre.
-
D.
Maureen Cox
Maureen Cox was a British hairdresser best known as the first wife of Beatles drummer Ringo Starr.
-
E.
Gwendolyn J. Elliott
Gwendolyn J. Elliott is a pioneering American law enforcement officer and advocate for women and girls, recognized for her leadership in policing and community service.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf45fbf08190b2b98f3eb75eafa3 |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 20, 2026, 1:49 p.m.