Triple
T22840698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Her Shoes |
E566069
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Anson Mount |
—
|
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: Anson Mount | Statement: [In Her Shoes, stars, Anson Mount]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anson Mount Context triple: [In Her Shoes, stars, Anson Mount]
-
A.
Anson Mount
chosen
Anson Mount is an American actor best known for his leading roles in television dramas such as Hell on Wheels and Star Trek: Discovery/Strange New Worlds.
-
B.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
C.
Nathan Ulrich
Nathan Ulrich is an American aircraft engineer and pilot, co-founder of the ultralight aircraft company Earthstar Aircraft and former husband of actress Rae Dawn Chong.
-
D.
Daniel Berkhart
Daniel Berkhart is a Marvel Comics supervillain who assumes the mantle of Mysterio after the original, Quentin Beck.
-
E.
Alex Hibbert
Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.