Triple
T5042464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Valiant (1954 film) |
E113575
|
entity |
| Predicate | sourceMaterialFormat |
P10683
|
FINISHED |
| Object | comic strip |
—
|
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: comic strip | Statement: [Prince Valiant (1954 film), sourceMaterialFormat, comic strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceMaterialFormat Context triple: [Prince Valiant (1954 film), sourceMaterialFormat, comic strip]
-
A.
sourceMaterialType
chosen
Indicates the type or category of material from which something originates or is derived.
-
B.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
C.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
D.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
E.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.