Triple
T21736271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traces of Red |
E536531
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Faye Grant |
—
|
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: Faye Grant | Statement: [Traces of Red, stars, Faye Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faye Grant Context triple: [Traces of Red, stars, Faye Grant]
-
A.
Faye Grant
chosen
Faye Grant is an American actress best known for her role as Dr. Juliet Parrish in the 1980s science fiction television miniseries "V."
-
B.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
-
C.
Faye Ward
Faye Ward is a British film and television producer known for her work on acclaimed projects such as the historical drama "Suffragette."
-
D.
Faye Brookes
Faye Brookes is an English actress best known for her role as Kate Connor in the long-running ITV soap opera Coronation Street.
-
E.
Sheree Fletcher
Sheree Fletcher is an American television personality and entrepreneur best known for her role on the reality series "Hollywood Exes" and as the ex-wife of actor Will Smith.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0c0a088190bd1926fa4b73d8f4 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:49 p.m.