Triple
T26393744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romain Duris |
E663486
|
entity |
| Predicate | preFameActivity |
P45313
|
FINISHED |
| Object | art student |
—
|
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: art student | Statement: [Romain Duris, preFameActivity, art student]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preFameActivity Context triple: [Romain Duris, preFameActivity, art student]
-
A.
usesPastFameFor
Indicates that one entity leverages or exploits its previous fame or reputation to gain influence, advantage, or benefit in relation to another entity.
-
B.
basedOnFameFrom
Indicates that something is determined, influenced, or derived from the level or source of fame associated with an entity.
-
C.
earlierAct
chosen
Indicates that one action or event occurred before another in time.
-
D.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
E.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610c1b57081909b603c41b3c0e5e0 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:27 p.m.