Triple
T25710105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Books |
E644705
|
entity |
| Predicate | thirdSeriesAired |
P33641
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Black Books, thirdSeriesAired, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdSeriesAired Context triple: [Black Books, thirdSeriesAired, 2004]
-
A.
isThirdInSeries
Indicates that an entity occupies the third position within an ordered sequence or series of related items.
-
B.
thirdSeriesCode
Indicates that an entity is associated with a specific code identifying its third series or third-level sequence within a set or classification.
-
C.
thirdSeriesPublicationYear
chosen
Indicates the year in which the third installment of a series was published.
-
D.
seriesNumberInTrilogy
Indicates the position or installment number that a work occupies within a specific trilogy.
-
E.
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.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 21, 2026, 9:11 p.m.