Triple
T36955129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandelay Technologies |
E914169
|
entity |
| Predicate | hasMascotOrIcon |
P52
|
FINISHED |
| Object | Vandelay corporate logo |
—
|
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: Vandelay corporate logo | Statement: [Vandelay Technologies, hasMascotOrIcon, Vandelay corporate logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMascotOrIcon Context triple: [Vandelay Technologies, hasMascotOrIcon, Vandelay corporate logo]
-
A.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
B.
hasMascotIdentity
Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
-
C.
hasMascotFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to a mascot.
-
D.
hasMascotOrTheme
Indicates that an entity is associated with a particular mascot or overarching theme.
-
E.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0358c946f08190a8fb41c643074475 |
completed | May 12, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_6a03586e5bb08190a71e075fde7cd679 |
completed | May 12, 2026, 4:42 p.m. |
Created at: May 3, 2026, 4:13 p.m.