Triple
T37888759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprawl trilogy |
E945067
|
entity |
| Predicate | mainCharacterInFirstBook |
P115631
|
FINISHED |
| Object | Case |
—
|
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: Case | Statement: [Sprawl trilogy, mainCharacterInFirstBook, Case]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterInFirstBook Context triple: [Sprawl trilogy, mainCharacterInFirstBook, Case]
-
A.
hasProtagonistInFirstVolume
chosen
Indicates that a work’s first volume features a specific entity as its main character.
-
B.
mainCharacterInBookThree
Indicates that the subject is the primary or central character in the third book of a series or collection.
-
C.
characterInBookBy
Indicates that a character appears in a book that was written by a specified author.
-
D.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
E.
mainThemeCharacter
Indicates that a character serves as the central or primary figure associated with the main theme of a work or narrative.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:19 p.m.