Triple
T23896031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star City |
E600904
|
entity |
| Predicate | notableCriminal |
P25876
|
FINISHED |
| Object | Count Vertigo |
—
|
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: Count Vertigo | Statement: [Star City, notableCriminal, Count Vertigo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCriminal Context triple: [Star City, notableCriminal, Count Vertigo]
-
A.
notablePrisoner
Indicates that a person is recognized as a significant or noteworthy inmate of a particular prison or detention facility.
-
B.
notableArrestee
Indicates that the subject is a person who was arrested in a way considered notable or significant, typically in connection with the object (such as an event, case, or authority).
-
C.
majorCriminalFigure
chosen
Indicates that the subject is a leading or highly influential participant in serious or organized criminal activity.
-
D.
notableArrests
Indicates that an entity has been arrested in a way considered significant or noteworthy, typically due to the circumstances, impact, or public attention surrounding the arrest.
-
E.
notablePrisonerGuarded
Indicates that a guard was responsible for overseeing or guarding a prisoner who is considered notable or significant.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdd9203081909b10820a81c5d9d3 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.