Triple
T3772919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Sight |
E83237
|
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: [Out of Sight, editor, Anne V. Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne V. Coates Context triple: [Out of Sight, 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.
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.
-
C.
Joan E. Chapman
Joan E. Chapman is a film editor known for her work on the action movie "First Blood."
-
D.
Margaret C. Etter
Margaret C. Etter was an influential American chemist and crystallographer known for pioneering work in hydrogen bonding and crystal engineering.
-
E.
Dolores H. Russ
Dolores H. Russ was an American philanthropist and co-namesake of the prestigious Fritz J. and Dolores H. Russ Prize in engineering.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc57c9e48190a0f254e47348bf32 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589bcbce88190b97b9dcec8a976f4 |
completed | March 14, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:36 p.m.