Triple
T15552484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett on Film: Act Without Words I |
E370783
|
entity |
| Predicate | isPartOfAnthology |
P81123
|
FINISHED |
| Object | televised adaptations of Samuel Beckett plays |
—
|
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: televised adaptations of Samuel Beckett plays | Statement: [Beckett on Film: Act Without Words I, isPartOfAnthology, televised adaptations of Samuel Beckett plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfAnthology Context triple: [Beckett on Film: Act Without Words I, isPartOfAnthology, televised adaptations of Samuel Beckett plays]
-
A.
isAnthologySegmentOf
chosen
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
hasAnthologyRelation
Indicates that there is a relationship between entities based on their inclusion in, contribution to, or association with the same anthology or collected work.
-
C.
hasAnthologyFormat
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
-
D.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
E.
notableAnthologyEdited
Indicates that an entity has served as the editor of a notable anthology involving 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:08 a.m.