Triple
T14712246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Losers |
E345576
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kerry Foster |
E469238
|
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: Kerry Foster | Statement: [The Losers, producer, Kerry Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerry Foster Context triple: [The Losers, producer, Kerry Foster]
-
A.
Kerry Foster
chosen
Kerry Foster is a film producer known for her work on action and genre movies, including the 2010 adaptation of "The Losers."
-
B.
Kerry Kelly
Kerry Kelly is the daughter of legendary American dancer, actor, and filmmaker Gene Kelly.
-
C.
Kerry Stokes
Kerry Stokes is an Australian billionaire businessman and media mogul best known for building a diverse empire spanning television, mining, and construction.
-
D.
Kerry Sanderson
Kerry Sanderson is an Australian businesswoman and former public servant who became the first female Governor of Western Australia.
-
E.
Kerry Ehrin
Kerry Ehrin is an American television writer and producer best known for her work on acclaimed series such as Bates Motel and The Morning Show.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce17f688190a86979cca8b88494 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.