Triple
T12400849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Compton |
E296248
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Fay Compton |
E296248
|
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: Fay Compton | Statement: [Fay Compton, stageName, Fay Compton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Compton Context triple: [Fay Compton, stageName, Fay Compton]
-
A.
Fay Compton
chosen
Fay Compton was a prominent English stage and film actress of the early to mid-20th century, renowned for her Shakespearean roles and appearances in classic British cinema.
-
B.
Vivian Burnett
Vivian Burnett was the son of British-American novelist Frances Hodgson Burnett, known primarily in relation to his mother's life and work.
-
C.
Julia Compton
Julia Compton was an American military spouse and advocate best known as the wife of U.S. Army General Hal Moore and for her influential work supporting military families.
-
D.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
E.
Maud Sampson
Maud Sampson is an individual interred at the Texas State Cemetery, a burial ground reserved for notable Texans and figures of historical significance to the state.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef6c34481909e18bce1154e7146 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:55 p.m.