Triple
T5757226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Barclay |
E126998
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joan Barclay |
E126998
|
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: Joan Barclay | Statement: [Joan Barclay, name, Joan Barclay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Barclay Context triple: [Joan Barclay, name, Joan Barclay]
-
A.
Joan Barclay
chosen
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
B.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
C.
Barbara Lane
Barbara Lane is a costume designer best known for her work on the comedy film "King Ralph."
-
D.
Joan Alison
Joan Alison was an American screenwriter best known for co-writing the classic 1942 film "Casablanca."
-
E.
Barbara Dickson
Barbara Dickson is a Scottish singer and actress known for her folk-inspired pop music and roles in musical theatre, including the hit musical "Blood Brothers."
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723a7e26c8190bdd0dd476eac3492 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 22, 2026, 3:49 p.m.