Triple
T14476536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett on Film: Play |
E358986
|
entity |
| Predicate | seriesOrderInBeckettOnFilm |
P83971
|
FINISHED |
| Object | one of nineteen films |
—
|
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: one of nineteen films | Statement: [Beckett on Film: Play, seriesOrderInBeckettOnFilm, one of nineteen films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOrderInBeckettOnFilm Context triple: [Beckett on Film: Play, seriesOrderInBeckettOnFilm, one of nineteen films]
-
A.
filmAppearanceOrder
Indicates the sequence in which a character or element appears within a film, relative to other appearances.
-
B.
seriesOrderOfFirstAppearance
chosen
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
-
C.
filmSeriesPublisher
Indicates the entity that publishes or distributes a given film series.
-
D.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
E.
sequenceInFilm
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9248edb48190a74eb032aeaac027 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.