Triple
T3016041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Cyclops |
E82337
|
entity |
| Predicate | isPioneeringUseOf |
P14232
|
FINISHED |
| Object | Technicolor in science fiction horror 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: Technicolor in science fiction horror films | Statement: [Dr. Cyclops, isPioneeringUseOf, Technicolor in science fiction horror films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPioneeringUseOf Context triple: [Dr. Cyclops, isPioneeringUseOf, Technicolor in science fiction horror films]
-
A.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
B.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
C.
isUsedUnder
Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
-
D.
technologyPioneered
chosen
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
-
E.
plannedUseOf
Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6b37288190a6965d183ca4b08b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.