Triple
T20521622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Taylor |
E503821
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joan Taylor |
—
|
NE NERFINISHED |
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: Joan Taylor | Statement: [Joan Taylor, name, Joan Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Taylor Context triple: [Joan Taylor, name, Joan Taylor]
-
A.
Joan Taylor
Joan Taylor was an American film and television actress best known for her roles in 1950s science fiction and Westerns.
-
B.
Joan Taylor
Joan Taylor was the wife of influential British historian A. J. P. Taylor and a figure within mid-20th-century British intellectual and social circles.
-
C.
Joan Taylor
Joan Taylor is a screenwriter best known for her work on the romantic comedy film "Fools Rush In."
-
D.
Joan Stewart
Joan Stewart was a Scottish noblewoman of the 16th century, known as the daughter of Henry Stewart, 1st Lord Methven, and a member of the influential Stewart family.
-
E.
Violet Jones
Violet Jones is the image-conscious, perfection-seeking advertising executive whose emotional and personal transformation drives the romantic comedy film "Nappily Ever After."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f46488c819093687b4e07837793 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.