Triple
T6278855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabourey Sidibe as Claireece "Precious" Jones |
E140728
|
entity |
| Predicate | characterStruggle |
P36801
|
FINISHED |
| Object | self-worth |
—
|
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: self-worth | Statement: [Gabourey Sidibe as Claireece "Precious" Jones, characterStruggle, self-worth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterStruggle Context triple: [Gabourey Sidibe as Claireece "Precious" Jones, characterStruggle, self-worth]
-
A.
associatedWithStruggle
Indicates a relationship in which an entity is connected to, involved in, or characterized by a particular struggle, conflict, or hardship.
-
B.
helpsCharacterConfront
Indicates that one character actively supports or enables another character in facing and dealing with a difficult issue, fear, or challenge.
-
C.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
D.
notableStruggles
chosen
Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
-
E.
struggleFor
Indicates a relationship where one entity exerts effort or engages in conflict in order to obtain, achieve, or defend another entity or goal.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.