Triple
T36166566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhonda Fleming Mann Clinic for Women’s Comprehensive Care at UCLA |
E1046016
|
entity |
| Predicate | tailorsCareTo |
P141634
|
FINISHED |
| Object | women’s specific health needs |
—
|
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 specific health needs | Statement: [Rhonda Fleming Mann Clinic for Women’s Comprehensive Care at UCLA, tailorsCareTo, women’s specific health needs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailorsCareTo Context triple: [Rhonda Fleming Mann Clinic for Women’s Comprehensive Care at UCLA, tailorsCareTo, women’s specific health needs]
-
A.
tailors
chosen
Indicates that one entity customizes, adapts, or modifies something specifically to suit the needs, characteristics, or preferences of another entity.
-
B.
hasNotableTailor
Indicates that an entity is associated with a tailor who is distinguished or noteworthy in some significant way.
-
C.
tailorsCreditsFor
Indicates that one party customizes or adjusts credits to suit the needs, characteristics, or context of another party.
-
D.
stylingHouse
Indicates a relationship where a house is being designed, decorated, or otherwise given a particular aesthetic style.
-
E.
tailorsProgrammingFor
Indicates that one entity customizes or adapts programming content, structure, or delivery specifically to suit the needs or characteristics of another entity.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.