Triple
T30098077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancelot, le Chevalier de la Charrette |
E764919
|
entity |
| Predicate | unfinishedBy |
P168446
|
FINISHED |
| Object | Chrétien de Troyes |
—
|
NE NERFINISHED |
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: Chrétien de Troyes | Statement: [Lancelot, le Chevalier de la Charrette, unfinishedBy, Chrétien de Troyes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unfinishedBy Context triple: [Lancelot, le Chevalier de la Charrette, unfinishedBy, Chrétien de Troyes]
-
A.
unfinished
Indicates that an action, process, or state has started but has not yet been completed.
-
B.
neverCompletedAs
Indicates that an entity was at some point expected or intended to have a certain role, status, or outcome, but that role/status/outcome was never actually completed or realized.
-
C.
finished
Indicates that an entity has completed an action, process, or state, reaching its end point.
-
D.
partiallyCompleted
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
-
E.
finish
Indicates that an entity brings an action, process, or state to an end or completion.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d92dbdc8190ae3e8f67b979cb5c |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:07 p.m.