Triple
T7041432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Nicole Smith |
E163521
|
entity |
| Predicate | playboyPlaymateOfTheMonth |
P74700
|
FINISHED |
| Object | May 1992 |
—
|
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: May 1992 | Statement: [Anna Nicole Smith, playboyPlaymateOfTheMonth, May 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playboyPlaymateOfTheMonth Context triple: [Anna Nicole Smith, playboyPlaymateOfTheMonth, May 1992]
-
A.
numberOfPlayboyCovers
Indicates the number of times an entity has appeared on the cover of Playboy magazine.
-
B.
ownedBroadsheet
Indicates that one entity possessed ownership of a broadsheet (such as a large-format newspaper or printed sheet).
-
C.
posterGirl
Indicates that one entity serves as the emblematic or ideal representative (the “poster girl”) for another entity, such as a cause, brand, or stereotype.
-
D.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
E.
publicationMonth
Indicates the calendar month in which a publication was released or made publicly available.
- F. None of above. chosen
Provenance (4 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.