Triple
T31871755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colleen Farrington |
E813620
|
entity |
| Predicate | playboyPlaymateMonth |
P74700
|
FINISHED |
| Object | October 1957 |
—
|
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: October 1957 | Statement: [Colleen Farrington, playboyPlaymateMonth, October 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playboyPlaymateMonth Context triple: [Colleen Farrington, playboyPlaymateMonth, October 1957]
-
A.
playboyPlaymateOfTheMonth
chosen
Indicates that a person was selected as Playboy magazine’s "Playmate of the Month" for a specific issue and date.
-
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.
publicationMonth
Indicates the calendar month in which a publication was released or made publicly available.
-
E.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b09ee1e88190a04d42b8251eaa13 |
completed | May 3, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:54 p.m.