Triple
T7642003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falcon and the Winter Soldier |
E173030
|
entity |
| Predicate | featuresIdentity |
P9236
|
FINISHED |
| Object | Captain America mantle |
—
|
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: Captain America mantle | Statement: [The Falcon and the Winter Soldier, featuresIdentity, Captain America mantle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresIdentity Context triple: [The Falcon and the Winter Soldier, featuresIdentity, Captain America mantle]
-
A.
userProfileFeatures
Indicates that certain characteristics, settings, or attributes are associated with and define a user's profile.
-
B.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
C.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
D.
localIdentity
Indicates that an entity’s identity or role is defined specifically within a particular local context, scope, or environment, rather than globally.
-
E.
identityRevealedIn
chosen
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:58 p.m.