Triple
T35046067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Duluoz |
E1011197
|
entity |
| Predicate | recurringCharacterInWorksOf |
P75850
|
FINISHED |
| Object | Jack Kerouac |
—
|
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: Jack Kerouac | Statement: [Jack Duluoz, recurringCharacterInWorksOf, Jack Kerouac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurringCharacterInWorksOf Context triple: [Jack Duluoz, recurringCharacterInWorksOf, Jack Kerouac]
-
A.
isRecurringCharacter
Indicates that an entity appears repeatedly or regularly within a given narrative, series, or context rather than only once.
-
B.
recurringCharacterInSeason
Indicates that a character appears repeatedly across multiple episodes within a specific season of a series.
-
C.
recurringCharacterIntroduced
Indicates that a character is introduced in a work as one who appears repeatedly across multiple episodes, issues, or installments.
-
D.
sameFictionalPersonAs
Indicates that two entities represent the same fictional character, even if they appear in different works, versions, or contexts.
-
E.
literarySeriesCharacter
chosen
Indicates that a character appears in, is part of, or is associated with a particular literary series.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78596dbd881908ac257a644fac731 |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.