Triple
T23897527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Roberts |
E600944
|
entity |
| Predicate | characterEvolution |
P20798
|
FINISHED |
| Object | popular high school girl to mature and compassionate young woman |
—
|
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: popular high school girl to mature and compassionate young woman | Statement: [Summer Roberts, characterEvolution, popular high school girl to mature and compassionate young woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterEvolution Context triple: [Summer Roberts, characterEvolution, popular high school girl to mature and compassionate young woman]
-
A.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
B.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
C.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
D.
character3
Indicates a tertiary or additional character role associated with an entity, typically the third distinct character linked within a given context or work.
-
E.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddb3fdc819096dc84a1774d9bee |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.