Triple
T34376173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayford Steele |
E882291
|
entity |
| Predicate | bookSeriesPosition |
P157413
|
FINISHED |
| Object | main protagonist in early Left Behind novels |
—
|
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: main protagonist in early Left Behind novels | Statement: [Rayford Steele, bookSeriesPosition, main protagonist in early Left Behind novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookSeriesPosition Context triple: [Rayford Steele, bookSeriesPosition, main protagonist in early Left Behind novels]
-
A.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
B.
situatedInSeries
chosen
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
C.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
D.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
E.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.