Triple
T35799590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edric Storm |
E1034930
|
entity |
| Predicate | portrayedAsCompositeOf |
P199799
|
FINISHED |
| Object | Edric Storm and Gendry (in TV adaptation) |
—
|
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: Edric Storm and Gendry (in TV adaptation) | Statement: [Edric Storm, portrayedAsCompositeOf, Edric Storm and Gendry (in TV adaptation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedAsCompositeOf Context triple: [Edric Storm, portrayedAsCompositeOf, Edric Storm and Gendry (in TV adaptation)]
-
A.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
-
B.
isAssemblyOf
Indicates that one entity is composed of, or formed by assembling, multiple other entities into a whole.
-
C.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
-
D.
composéDe
Indicates that something is made up of, or consists of, one or more constituent parts.
-
E.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
| PDg | Predicate description generation | batch_69ff58031bb081909fea985b16f69da4 |
completed | May 9, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:06 p.m.