Triple
T13212976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rena Greek |
E314538
|
entity |
| Predicate | playboyAppearance |
P74700
|
FINISHED |
| Object | April 1998 issue |
—
|
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: April 1998 issue | Statement: [Rena Greek, playboyAppearance, April 1998 issue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playboyAppearance Context triple: [Rena Greek, playboyAppearance, April 1998 issue]
-
A.
numberOfPlayboyCovers
Indicates the number of times an entity has appeared on the cover of Playboy magazine.
-
B.
playboyPlaymateOfTheYear
Indicates that a person has been selected as Playboy magazine's "Playmate of the Year" for a given year.
-
C.
isPlaymateOf
Indicates a reciprocal relationship where two entities regularly engage in play or recreational activities together.
-
D.
playboyPlaymateOfTheMonth
chosen
Indicates that a person was selected as Playboy magazine’s "Playmate of the Month" for a specific issue and date.
-
E.
portrayalBodyDoubleForSomeShots
Indicates that one person served as a body double for another person in certain shots of a portrayal or performance.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:17 p.m.