Triple
T14641402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan & Ollie |
E343731
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Faye Ward |
E1007380
|
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: Faye Ward | Statement: [Stan & Ollie, producer, Faye Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faye Ward Context triple: [Stan & Ollie, producer, Faye Ward]
-
A.
Faye Ward
chosen
Faye Ward is a British film and television producer known for her work on acclaimed projects such as the historical drama "Suffragette."
-
B.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
-
C.
Faye Miller
Faye Miller is a market research psychologist who becomes one of Don Draper’s significant romantic partners in the television series "Mad Men."
-
D.
Faye Grant
Faye Grant is an American actress best known for her role as Dr. Juliet Parrish in the 1980s science fiction television miniseries "V."
-
E.
Faye Emerson
Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce36ce08190930e791e2837d1a5 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 1:26 a.m.