Triple
T6868472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Downey |
E158476
|
entity |
| Predicate | coFounderOf |
P104
|
FINISHED |
| Object | Team Downey |
E349919
|
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: Team Downey | Statement: [Susan Downey, coFounderOf, Team Downey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Team Downey Context triple: [Susan Downey, coFounderOf, Team Downey]
-
A.
Team Downey
chosen
Team Downey is a film and television production company founded by Robert Downey Jr. and Susan Downey, known for developing a range of high-profile studio projects.
-
B.
Dominic Toretto's crew
Dominic Toretto's crew is the tight-knit team of street racers and heist specialists led by Dominic Toretto in the Fast & Furious film franchise.
-
C.
Ted Striker
Ted Striker is the anxious, traumatized former fighter pilot and hilariously inept yet ultimately heroic protagonist of the parody disaster film "Airplane!".
-
D.
Chris Downey
Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
-
E.
Daniel P. McCoy
Daniel P. McCoy is an American politician who serves as the chief executive of Albany County, New York, overseeing county government operations and policy implementation.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a793a481909340239c065393a4 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74299ae148190a56c7b1ee8829f40 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.