Triple
T27034020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Universe 1987 |
E681002
|
entity |
| Predicate | missCongenialityWinner |
P161789
|
FINISHED |
| Object | Patricia López Ruiz |
—
|
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: Patricia López Ruiz | Statement: [Miss Universe 1987, missCongenialityWinner, Patricia López Ruiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missCongenialityWinner Context triple: [Miss Universe 1987, missCongenialityWinner, Patricia López Ruiz]
-
A.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
B.
sixthWomanOfTheYear
Indicates that the subject is recognized as the sixth individual to receive the "Woman of the Year" title or honor in a given sequence or context.
-
C.
bestCastingWinner
Indicates that the subject has won an award or recognition for delivering the best casting in a given context or competition.
-
D.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
E.
مجال الشهرة
Indicates the domain or field in which an entity is renowned or widely recognized.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6223870308190a016b76902bcf6d4 |
completed | May 2, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 7:15 a.m.