Triple
T3551223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Dennehy |
E75114
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
FX2
FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
|
E368097
|
NE FINISHED |
How this triple was built (4 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: FX2 | Statement: [Brian Dennehy, notableWork, FX2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FX2 Context triple: [Brian Dennehy, notableWork, FX2]
-
A.
FXM
FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
-
B.
EFX
EFX is the stock ticker symbol for Equifax Inc., a major U.S.-based consumer credit reporting agency.
-
C.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
-
D.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
E.
TFX
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FX2 Triple: [Brian Dennehy, notableWork, FX2]
Generated description
FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FX2 Target entity description: FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
-
A.
FXM
FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
-
B.
EFX
EFX is the stock ticker symbol for Equifax Inc., a major U.S.-based consumer credit reporting agency.
-
C.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
-
D.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
E.
TFX
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
- F. None of above. chosen
Provenance (5 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd52f44819088e07139fe987e2a |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bec437c8190b35ca77dc19d441d |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c5d9ec8819095132a06c1add128 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cc3f330819096df64a81d4a5f58 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.