Triple
T29661753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Disney and Mickey Mouse "Storytellers" sculpture |
E750426
|
entity |
| Predicate | portraysWaltDisneyAs |
P100368
|
FINISHED |
| Object | young man |
—
|
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: young man | Statement: [Walt Disney and Mickey Mouse "Storytellers" sculpture, portraysWaltDisneyAs, young man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysWaltDisneyAs Context triple: [Walt Disney and Mickey Mouse "Storytellers" sculpture, portraysWaltDisneyAs, young man]
-
A.
portraysMinnieAs
Indicates that one entity depicts or represents Minnie in a particular way, role, or characterization.
-
B.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
C.
portraysPersonAs
chosen
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
D.
disneyLabel
Indicates that an entity is labeled, branded, or categorized under the Disney franchise or organization.
-
E.
wasPortrayedAs
Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 28, 2026, 6:58 p.m.