Triple
T31734463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hide and Seek |
E809953
|
entity |
| Predicate | hasInspectorRebusNovelNumber |
P199931
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hide and Seek, hasInspectorRebusNovelNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInspectorRebusNovelNumber Context triple: [Hide and Seek, hasInspectorRebusNovelNumber, 2]
-
A.
hasInspectorMorseNovelNumber
Indicates that an entity (a specific work) is associated with a particular numbered position within the Inspector Morse novel series.
-
B.
isOnlyNovelBy
Indicates that the referenced work is the sole novel created by the specified author or creator.
-
C.
hasNovella
Indicates that one entity possesses, includes, or is associated with a novella as part of its contents or attributes.
-
D.
appearsAcrossNumberOfNovels
Indicates the number of distinct novels in which a given entity makes an appearance.
-
E.
isSecondNovelBy
Indicates that one entity is the second novel authored by another entity.
- F. None of above. chosen
Provenance (4 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
| PDg | Predicate description generation | batch_69ff64b864f481909fcefc2b08595c89 |
completed | May 9, 2026, 4:45 p.m. |
Created at: April 30, 2026, 11:22 p.m.