Triple
T14901906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Poètes maudits |
E360026
|
entity |
| Predicate | coinedConcept |
P201
|
FINISHED |
| Object | accursed poets |
—
|
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: accursed poets | Statement: [Les Poètes maudits, coinedConcept, accursed poets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinedConcept Context triple: [Les Poètes maudits, coinedConcept, accursed poets]
-
A.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
B.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
C.
coinedIn
Indicates that something (typically a term, phrase, or name) was first created or introduced at a particular time or in a particular place.
-
D.
ideologyCoined
Indicates that one entity originated, formulated, or first introduced a particular ideology.
-
E.
introducedConcept
chosen
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:11 a.m.