Triple
T21391850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Girard |
E527672
|
entity |
| Predicate | demandsFromRickyBobby |
P144040
|
FINISHED |
| Object | to admit he is not the best |
—
|
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: to admit he is not the best | Statement: [Jean Girard, demandsFromRickyBobby, to admit he is not the best]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandsFromRickyBobby Context triple: [Jean Girard, demandsFromRickyBobby, to admit he is not the best]
-
A.
demandsFromJody
Indicates that one entity makes a demand of Jody.
-
B.
demands
Indicates that one entity insists that another entity provide something or take a specific action, typically with authority or urgency.
-
C.
demandsFromConor
Indicates that one entity makes a demand or requirement directed toward Conor.
-
D.
demandsFromDancers
Indicates that one entity requires or insists on something from dancers, such as effort, performance, or compliance.
-
E.
promptedDemandFor
Indicates that one entity’s action or occurrence caused an increase in demand for another entity.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cbfef08190a33ac1f198c82cd0 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:13 p.m.