Triple
T7041433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Nicole Smith |
E163521
|
entity |
| Predicate | playboyPlaymateOfTheYear |
P74701
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Anna Nicole Smith, playboyPlaymateOfTheYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playboyPlaymateOfTheYear Context triple: [Anna Nicole Smith, playboyPlaymateOfTheYear, 1993]
-
A.
numberOfPlayboyCovers
Indicates the number of times an entity has appeared on the cover of Playboy magazine.
-
B.
yearCast
Indicates the specific year in which a particular cast or casting of something (such as a film, show, or performance) took place.
-
C.
portrayedBySpouseOf
Indicates that something is portrayed or depicted by the spouse of a given entity.
-
D.
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.
-
E.
promotionYear
Indicates the year in which an entity was promoted to a new position, rank, or status.
- 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.