Triple
T27596527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor Randall Winston |
E699913
|
entity |
| Predicate | isFictionalMayorOf |
P67496
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Mayor Randall Winston, isFictionalMayorOf, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFictionalMayorOf Context triple: [Mayor Randall Winston, isFictionalMayorOf, New York City]
-
A.
hasFictionalCountySeatRole
Indicates that an entity serves in the role of county seat within a fictional or imaginary administrative setting.
-
B.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
C.
hasFictionalLeader
chosen
Indicates that an entity is led or governed by a leader who is a fictional character rather than a real person.
-
D.
fictionalCapital
Indicates that a location serves as the capital city within a fictional or imaginary political or geographic entity.
-
E.
hasFictionalSpokesperson
Indicates that an entity is represented or promoted by a spokesperson who is a fictional or imaginary character.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63058d8208190bc5b33eb5ebeec5c |
completed | May 2, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:06 p.m.