Triple
T32319865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleu II |
E825744
|
entity |
| Predicate | seriesHasMemberAfter |
P151165
|
FINISHED |
| Object | Bleu III |
—
|
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: Bleu III | Statement: [Bleu II, seriesHasMemberAfter, Bleu III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesHasMemberAfter Context triple: [Bleu II, seriesHasMemberAfter, Bleu III]
-
A.
hasLaterMember
chosen
Indicates that one member in an ordered sequence occurs later than another member in that same sequence.
-
B.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
C.
hasMissingEpisode
Indicates that an entity (such as a series or season) is associated with one or more episodes that are absent or not available.
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 12:46 a.m.