Triple
T22188572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrow of God |
E548357
|
entity |
| Predicate | trilogyRelation |
P24632
|
FINISHED |
| Object | often grouped with Things Fall Apart and No Longer at Ease |
—
|
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: often grouped with Things Fall Apart and No Longer at Ease | Statement: [Arrow of God, trilogyRelation, often grouped with Things Fall Apart and No Longer at Ease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trilogyRelation Context triple: [Arrow of God, trilogyRelation, often grouped with Things Fall Apart and No Longer at Ease]
-
A.
hasPartInTrilogy
Indicates that an entity is one of the constituent parts (e.g., books, films, or episodes) that together form a specific trilogy.
-
B.
partOfTrilogy
chosen
Indicates that one work belongs to a set of three related works that together form a trilogy.
-
C.
trilogyTheme
Indicates that multiple works in a trilogy share a common overarching theme or central subject.
-
D.
seriesNumberInTrilogy
Indicates the position or installment number that a work occupies within a specific trilogy.
-
E.
hasTrilogy
Indicates that an entity is part of, or associated with, a specific trilogy within a larger set of works or narratives.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aab3d2c81908a3b5a5c127c4aac |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.