Triple
T1801481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man of the Moment |
E39727
|
entity |
| Predicate | hasNormanWisdomFilmSeriesEntry |
P5564
|
FINISHED |
| Object | Norman Wisdom 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: Norman Wisdom film | Statement: [Man of the Moment, hasNormanWisdomFilmSeriesEntry, Norman Wisdom film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNormanWisdomFilmSeriesEntry Context triple: [Man of the Moment, hasNormanWisdomFilmSeriesEntry, Norman Wisdom film]
-
A.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
B.
filmSeries
chosen
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
-
E.
hasEP
Indicates that an entity possesses, is associated with, or is characterized by a specific EP (e.g., an endpoint, event point, or designated EP resource) in the given context.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.