Triple
T29015201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander: Director's Cut |
E737282
|
entity |
| Predicate | hasAdditionalFootageComparedTo |
P124048
|
FINISHED |
| Object | Alexander (theatrical cut) |
—
|
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: Alexander (theatrical cut) | Statement: [Alexander: Director's Cut, hasAdditionalFootageComparedTo, Alexander (theatrical cut)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalFootageComparedTo Context triple: [Alexander: Director's Cut, hasAdditionalFootageComparedTo, Alexander (theatrical cut)]
-
A.
includesNewFootageWith
chosen
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
B.
usesUnusedFootageOf
Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
-
C.
usesArchivalFootageFrom
Indicates that one entity incorporates or includes archival footage originating from another entity.
-
D.
hasHigherQualityThan
Indicates that one entity possesses a superior level of quality compared to another entity.
-
E.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 28, 2026, 9:45 a.m.