Triple
T12187243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | magicJack |
E290363
|
entity |
| Predicate | clubGenderCategory |
P73600
|
FINISHED |
| Object | women's club |
—
|
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: women's club | Statement: [magicJack, clubGenderCategory, women's club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubGenderCategory Context triple: [magicJack, clubGenderCategory, women's club]
-
A.
parentClubGender
chosen
Indicates the gender category (e.g., men’s, women’s, mixed) associated with the parent club in a club–team or club–division relationship.
-
B.
genderOfMascot
Indicates the gender associated with a particular mascot.
-
C.
genderCategories
Indicates the classification of an entity into one or more gender-related categories or identities.
-
D.
awardCategoryGender
Indicates that an award category is designated for recipients of a specific gender.
-
E.
featuredGender
Indicates that a particular gender is highlighted, emphasized, or given primary focus in a given context or presentation.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.