Triple
T9789933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homefront |
E237580
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Phil Broker |
E821574
|
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: Phil Broker | Statement: [Homefront, protagonist, Phil Broker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Broker Context triple: [Homefront, protagonist, Phil Broker]
-
A.
Phil Broker
chosen
Phil Broker is the former Marine and undercover DEA agent protagonist of the action-thriller film "Homefront," portrayed by Jason Statham.
-
B.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
-
C.
Kevin Brodbin
Kevin Brodbin is a screenwriter known for his work on genre films, including the psychological thriller "Mindhunters."
-
D.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
-
E.
Lawrence Brooks
Lawrence Brooks was an American supercentenarian best known as the oldest known U.S. World War II veteran.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.