Triple
T24985671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Wright |
E625299
|
entity |
| Predicate | starsAsPhysicalTherapist |
P157893
|
FINISHED |
| Object | Queen Latifah |
—
|
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: Queen Latifah | Statement: [Just Wright, starsAsPhysicalTherapist, Queen Latifah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsAsPhysicalTherapist Context triple: [Just Wright, starsAsPhysicalTherapist, Queen Latifah]
-
A.
therapist
Indicates that one entity serves in a therapeutic role, providing professional mental health or counseling services to another entity.
-
B.
includesTherapy
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
C.
hasRehabilitationFocus
Indicates that an entity is oriented toward or primarily concerned with rehabilitation activities, goals, or outcomes.
-
D.
gymnasticsStar
Indicates that one entity is recognized as an outstanding or star performer in gymnastics.
-
E.
practitionerType
Indicates the specific category or role of practitioner associated with an entity (e.g., doctor, nurse, therapist).
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:03 a.m.