Triple
T22840699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Her Shoes |
E566069
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Eric Balfour |
—
|
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: Eric Balfour | Statement: [In Her Shoes, stars, Eric Balfour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Balfour Context triple: [In Her Shoes, stars, Eric Balfour]
-
A.
Eric Balfour
chosen
Eric Balfour is an American actor and singer known for his roles in film and television, including prominent parts in series like "Haven" and movies such as "The Texas Chainsaw Massacre."
-
B.
Andrew Burkle
Andrew Burkle was an American film producer and the son of billionaire investor and philanthropist Ron Burkle.
-
C.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
D.
Bryan Murray
Bryan Murray was a Canadian ice hockey coach and executive best known for his long NHL career, including serving as head coach and general manager of the Ottawa Senators.
-
E.
John Beattie
John Beattie is a name shared by several notable individuals, including figures in fields such as sports, academia, and the arts.
- 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.