Triple
T15297195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extraction (2015 film) |
E365689
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Gina Carano |
E892524
|
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: Gina Carano | Statement: [Extraction (2015 film), hasCastMember, Gina Carano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Carano Context triple: [Extraction (2015 film), hasCastMember, Gina Carano]
-
A.
Gina Carano
chosen
Gina Carano is an American actress and former mixed martial artist best known for her roles in action films and the Star Wars series "The Mandalorian."
-
B.
Carlos Condit
Carlos Condit is an American mixed martial artist and former UFC Interim Welterweight Champion known for his aggressive striking and finishing ability.
-
C.
Ronda Rousey
Ronda Rousey is an American professional wrestler, former mixed martial arts champion, and Olympic judoka who gained fame in the UFC before becoming a top star in WWE.
-
D.
Dawn Navarro
Dawn Navarro is a manipulative and cunning psychic and con artist who plays a central role in Elmore Leonard’s crime novel "Road Dogs."
-
E.
Maggie Q
Maggie Q is an American actress and model best known for her action roles in films like the Mission: Impossible franchise and the TV series Nikita and Designated Survivor.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.