Triple
T13870904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacGyver |
E333446
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | ABC Circle Films |
E832295
|
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: ABC Circle Films | Statement: [MacGyver, productionCompany, ABC Circle Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC Circle Films Context triple: [MacGyver, productionCompany, ABC Circle Films]
-
A.
ABC Circle Films
chosen
ABC Circle Films was a television production company associated with ABC that produced made-for-TV movies and specials.
-
B.
Gold Circle Films
Gold Circle Films is an American independent film production company known for producing commercially successful genre and romantic-comedy movies.
-
C.
Apache Films
Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
-
D.
Cascade Films
Cascade Films is a film production company known for developing and producing independent feature films.
-
E.
Central Films
Central Films is a film production company known for its involvement in internationally acclaimed cinema, including the multi-narrative drama "Babel" (2006).
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.