Triple
T19633622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter of Dreux |
E471332
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Mauclerc |
—
|
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: Mauclerc | Statement: [Peter of Dreux, nickname, Mauclerc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauclerc Context triple: [Peter of Dreux, nickname, Mauclerc]
-
A.
Seigneux
Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Bourchier
Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
-
C.
Baron Janvrin
Baron Janvrin is a British life peer and former senior royal courtier who served as Private Secretary to Queen Elizabeth II.
-
D.
Seneschal of Poitou
chosen
The Seneschal of Poitou was a high-ranking royal official in medieval Poitou responsible for administering justice, managing finances, and overseeing military and governmental affairs on behalf of the ruling monarch.
-
E.
Manceau
Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.