Triple
T14996303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICON Venue Group |
E373965
|
entity |
| Predicate | roleOfTimRomani |
P116273
|
FINISHED |
| Object | founder and chief executive |
—
|
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: founder and chief executive | Statement: [ICON Venue Group, roleOfTimRomani, founder and chief executive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfTimRomani Context triple: [ICON Venue Group, roleOfTimRomani, founder and chief executive]
-
A.
roleInRome
Indicates that an entity holds or held a specific role, position, or function within the context of Rome or Roman society.
-
B.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
-
C.
roleOfJulian
Indicates the specific role, function, or position that Julian holds in relation to another entity or context.
-
D.
emperorRole
Indicates that an entity holds or fulfills the role, position, or office of an emperor in relation to another entity or context.
-
E.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
- F. None of above. chosen
Provenance (4 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded718e4288190b5e144f82299a194 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:53 a.m.