Triple
T27065402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvel Cinematic Universe films featuring Phil Coulson |
E685159
|
entity |
| Predicate | hasFunctionInFranchise |
P60331
|
FINISHED |
| Object | connects different heroes |
—
|
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: connects different heroes | Statement: [Marvel Cinematic Universe films featuring Phil Coulson, hasFunctionInFranchise, connects different heroes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionInFranchise Context triple: [Marvel Cinematic Universe films featuring Phil Coulson, hasFunctionInFranchise, connects different heroes]
-
A.
hasItemInFranchise
Indicates that an entity possesses or includes a specific item as part of a larger franchise or branded collection.
-
B.
hasFunctionInGames
Indicates that something serves a specific role, purpose, or function within the context of games.
-
C.
hasFictionalFunction
chosen
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
-
D.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
E.
usedByFranchise
Indicates that something (such as a resource, asset, or element) is utilized or employed by a particular franchise.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:24 a.m.