Triple
T23555498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Color Force |
E578176
|
entity |
| Predicate | notableAdaptationSource |
P1927
|
FINISHED |
| Object | The Hunger Games by Suzanne Collins |
—
|
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: The Hunger Games by Suzanne Collins | Statement: [Color Force, notableAdaptationSource, The Hunger Games by Suzanne Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAdaptationSource Context triple: [Color Force, notableAdaptationSource, The Hunger Games by Suzanne Collins]
-
A.
notableAdaptation
chosen
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
B.
notableAdaptationElement
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
C.
notableAdaptationContext
Indicates that an adaptation is particularly significant or noteworthy within a specific contextual setting (such as medium, time period, or cultural environment).
-
D.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
E.
notableAdaptationStudio
Indicates that a particular studio is especially recognized for creating an adaptation of the subject work or property.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed253788190ba75109af0e91b37 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:12 p.m.