Triple
T31234334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Ray |
E796373
|
entity |
| Predicate | seriesNumberInComediesAndProverbs |
P182264
|
FINISHED |
| Object | fifth film |
—
|
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: fifth film | Statement: [The Green Ray, seriesNumberInComediesAndProverbs, fifth film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInComediesAndProverbs Context triple: [The Green Ray, seriesNumberInComediesAndProverbs, fifth film]
-
A.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
B.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
C.
associatedProverb
Indicates that there is a relationship between something (such as a concept, situation, or statement) and a specific proverb that is linked to or expressive of it.
-
D.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
E.
storyNumber
Indicates the numerical identifier assigned to a specific story within a collection, sequence, or dataset.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 29, 2026, 9:10 p.m.