Triple
T22026528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Need Is One Good Break |
E543978
|
entity |
| Predicate | titleCharacterContext |
P110763
|
FINISHED |
| Object | aspiring young woman seeking a career break |
—
|
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: aspiring young woman seeking a career break | Statement: [All I Need Is One Good Break, titleCharacterContext, aspiring young woman seeking a career break]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterContext Context triple: [All I Need Is One Good Break, titleCharacterContext, aspiring young woman seeking a career break]
-
A.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
B.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
C.
titleCharacterState
chosen
Indicates the state or condition a character is in within the context of a specific title or work.
-
D.
titleCharacterDestination
Indicates the destination or endpoint that the title character is intended to reach or is associated with in the context of the narrative or action.
-
E.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.