Triple
T15436659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Island (2005 film) score |
E369780
|
entity |
| Predicate | supportsTone |
P118780
|
FINISHED |
| Object | futuristic |
—
|
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: futuristic | Statement: [The Island (2005 film) score, supportsTone, futuristic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTone Context triple: [The Island (2005 film) score, supportsTone, futuristic]
-
A.
supportsRingtones
Indicates that one entity provides the capability for another entity to use or play ringtones.
-
B.
supportsPCM
Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
-
C.
supportsInstrument
Indicates that one entity provides assistance, resources, or functionality that enables another entity (the instrument) to operate or be used effectively.
-
D.
supportedInstrument
Indicates that an entity provides compatibility with, or operational support for, a specified instrument.
-
E.
supportsMood
Indicates that one entity helps maintain, enhance, or positively influence the emotional state or mood of another entity.
- F. None of above. chosen
Provenance (4 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.