Triple
T31184931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthology 1 |
E795012
|
entity |
| Predicate | includesAlternateTakes |
P103940
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Anthology 1, includesAlternateTakes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAlternateTakes Context triple: [Anthology 1, includesAlternateTakes, true]
-
A.
hasAlternateTake
chosen
Indicates that one entity is an alternative version or different take of another, typically representing a variant recording, shot, or rendition of the same underlying content.
-
B.
hasAlternativeArrangement
Indicates that one entity can be organized, configured, or structured in a different valid way as an alternative to its current or primary arrangement.
-
C.
hasAlternativeArrangementsFor
Indicates that one entity provides or specifies substitute or backup arrangements that can be used in place of another entity’s primary arrangements.
-
D.
hasAlternateCut
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
E.
numberOfTakesUsed
Indicates the specific count of takes that were actually used in the final version of a recording or production.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
Created at: April 29, 2026, 9:08 p.m.