Triple
T28899368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Fight |
E732910
|
entity |
| Predicate | cityLeaderCharacter |
P127330
|
FINISHED |
| Object | Mayor Mike Haggar |
—
|
NE NERFINISHED |
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: Mayor Mike Haggar | Statement: [Final Fight, cityLeaderCharacter, Mayor Mike Haggar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityLeaderCharacter Context triple: [Final Fight, cityLeaderCharacter, Mayor Mike Haggar]
-
A.
cityQuarterCharacter
Indicates the characteristic qualities or distinctive nature that define a particular city quarter.
-
B.
governanceCharacter
Indicates the nature or quality of how an entity governs, such as its style, principles, or behavioral characteristics in exercising authority.
-
C.
cityPatroness
Indicates that a female patron or protective figure is associated with and regarded as the guardian or benefactor of a particular city.
-
D.
hasCivicLeader
chosen
Indicates that an entity serves as the civic leader (such as a mayor or equivalent public official) of another entity, typically a city or municipality.
-
E.
fictionalOrganizationLeader
Indicates that one entity serves as the leader or head of a fictional organization represented by the other entity.
- F. None of above.
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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa677948190ab5b5a097d4cea5d |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:01 a.m.