Triple
T24972136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Petit Dauphin |
E624918
|
entity |
| Predicate | hasReferentTitle |
P144993
|
FINISHED |
| Object | Duke of Burgundy |
—
|
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: Duke of Burgundy | Statement: [Le Petit Dauphin, hasReferentTitle, Duke of Burgundy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReferentTitle Context triple: [Le Petit Dauphin, hasReferentTitle, Duke of Burgundy]
-
A.
hasTitlePhraseReferringTo
Indicates that an entity’s title includes or is associated with a specific phrase that refers to another entity or concept.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasTitleOf
chosen
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
D.
hasTitleName
Indicates that an entity possesses or is associated with a specific title or name.
-
E.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 18, 2026, 6:01 a.m.