Triple
T15905943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael Taylor |
E385714
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Trish Walker |
E1199073
|
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: Trish Walker | Statement: [Rachael Taylor, playedCharacter, Trish Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trish Walker Context triple: [Rachael Taylor, playedCharacter, Trish Walker]
-
A.
Trish Walker
chosen
Trish Walker is a former child star turned radio host and vigilante, best known as Jessica Jones’s adoptive sister and moral foil in Marvel’s Jessica Jones series.
-
B.
Tricia McAlpin
Tricia McAlpin is a television producer and writer known for her work as an executive producer on the comedy series "Blunt Talk."
-
C.
Trudy Walker
Trudy Walker is a character in *The Man in the High Castle*, known as the younger sister of protagonist Juliana Crain.
-
D.
Lisa Walker
Lisa Walker is the central protagonist of the television series "Bed of Roses," around whose personal and family dramas the story revolves.
-
E.
Melissa Walker
Melissa Walker is a central character in the sci-fi action film "Timecop," serving as the protagonist's wife whose fate drives the movie's time-traveling plot.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565956588190ba4726a2879b677d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000777c6a08190a4deed9952179be5 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 4:52 a.m.