Triple
T37717172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shield (Joe Simon character) |
E939486
|
entity |
| Predicate | hasSuperheroRole |
P141408
|
FINISHED |
| Object | crimefighter |
—
|
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: crimefighter | Statement: [The Shield (Joe Simon character), hasSuperheroRole, crimefighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuperheroRole Context triple: [The Shield (Joe Simon character), hasSuperheroRole, crimefighter]
-
A.
hasSuperheroMantle
Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
-
B.
roleInComics
chosen
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
C.
roleInMarvelLore
Indicates the specific function, status, or narrative significance an entity holds within the Marvel universe’s storyline and mythology.
-
D.
associatedWithSuperhero
Indicates that one entity has a notable connection, link, or involvement with a superhero entity.
-
E.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
Created at: May 3, 2026, 4:18 p.m.