Triple
T18967741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor: Love and Thunder (2022) film score |
E464084
|
entity |
| Predicate | incorporatesSuperheroMotifs |
P103297
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Thor: Love and Thunder (2022) film score, incorporatesSuperheroMotifs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesSuperheroMotifs Context triple: [Thor: Love and Thunder (2022) film score, incorporatesSuperheroMotifs, yes]
-
A.
hasSuperheroMantle
Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
-
B.
associatedWithSuperhero
Indicates that one entity has a notable connection, link, or involvement with a superhero entity.
-
C.
includesHeroes
Indicates that something (such as a work, group, or collection) contains or features one or more heroes as part of it.
-
D.
incorporatesSymbolismFrom
chosen
Indicates that one entity includes or integrates symbolic elements, motifs, or meanings derived from another entity.
-
E.
heroDepicted
Indicates that one entity is portrayed or represented as a hero in relation to 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6172888819090a8b3cb1db20496 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon