Triple
T26935270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Tate |
E678356
|
entity |
| Predicate | basedOnRealWorldConcept |
P93832
|
FINISHED |
| Object | Playboy Playmate |
—
|
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: Playboy Playmate | Statement: [Jordan Tate, basedOnRealWorldConcept, Playboy Playmate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRealWorldConcept Context triple: [Jordan Tate, basedOnRealWorldConcept, Playboy Playmate]
-
A.
influencedByRealWorldConcept
Indicates that something is shaped, inspired, or determined by an existing concept, phenomenon, or principle from the real world.
-
B.
relatedToRealWorldConcept
Indicates that something has a direct connection, correspondence, or relevance to a concept that exists or is recognized in the real world.
-
C.
basedOnRealLife
chosen
Indicates that something is derived from, inspired by, or directly adapted from actual real-world events, people, or situations.
-
D.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
-
E.
isConceptualizedAs
Indicates that one entity is mentally represented, interpreted, or understood in terms 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 6:15 a.m.