Triple
T32691509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Zanotti |
E835870
|
entity |
| Predicate | redCarpetPresence |
P50870
|
FINISHED |
| Object | frequent |
—
|
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: frequent | Statement: [Giuseppe Zanotti, redCarpetPresence, frequent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redCarpetPresence Context triple: [Giuseppe Zanotti, redCarpetPresence, frequent]
-
A.
hasRedCarpetEvent
chosen
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
-
B.
festivalPresence
Indicates that an entity is present at, participates in, or is associated with a particular festival event.
-
C.
premiereReception
Indicates the initial public reception, response, or critical reaction to a work at or immediately following its premiere event.
-
D.
composerPresentAtPremiere
Indicates that the composer of a work was physically present at the premiere performance of that work.
-
E.
unveiledInPresenceOf
Indicates that something was formally revealed or made public while specific other entities were present.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:10 a.m.