Triple
T31266514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Rachel Wallace |
E797266
|
entity |
| Predicate | literarySeriesCharacterCreator |
P166540
|
FINISHED |
| Object | Robert B. Parker |
—
|
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: Robert B. Parker | Statement: [Looking for Rachel Wallace, literarySeriesCharacterCreator, Robert B. Parker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySeriesCharacterCreator Context triple: [Looking for Rachel Wallace, literarySeriesCharacterCreator, Robert B. Parker]
-
A.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary series.
-
B.
franchiseCharacterCreator
chosen
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
C.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
-
D.
characterGenerator
Indicates a relationship where an entity produces, defines, or initializes characters or character data for use in another context.
-
E.
fictionalCharacterAssisted
Indicates that one fictional character provided help, support, or assistance to another fictional character.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 29, 2026, 9:13 p.m.