Triple
T12804391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of New York Clubs |
E306105
|
entity |
| Predicate | indicatesStatusAs |
P8487
|
FINISHED |
| Object | leading nightclub figure |
—
|
LITERAL 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: leading nightclub figure | Statement: [King of New York Clubs, indicatesStatusAs, leading nightclub figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatesStatusAs Context triple: [King of New York Clubs, indicatesStatusAs, leading nightclub figure]
-
A.
statusIndicates
chosen
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
B.
definedStatusFor
Indicates that one entity establishes or specifies the status or state assigned to another entity.
-
C.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
D.
impliesStatus
Indicates that one condition, fact, or state logically leads to or determines another status or outcome.
-
E.
recognizesStatus
Indicates that one entity acknowledges or accepts the official status or standing of another 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.