Triple
T25716566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger I of Foix |
E644878
|
entity |
| Predicate | saidToBeTheFirstHolderOfTitle |
P59833
|
FINISHED |
| Object | Count of Foix |
—
|
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: Count of Foix | Statement: [Roger I of Foix, saidToBeTheFirstHolderOfTitle, Count of Foix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saidToBeTheFirstHolderOfTitle Context triple: [Roger I of Foix, saidToBeTheFirstHolderOfTitle, Count of Foix]
-
A.
saidToBeTheFirst
chosen
Indicates that one entity is claimed or regarded as being the earliest or original instance of something relative to others.
-
B.
earliestKnownHolder
Indicates that the subject is the first known entity in time to have possessed, held, or been assigned the object.
-
C.
isYoungestToHoldTitle
Indicates that the subject is the youngest individual ever to have held the specified title or position.
-
D.
wasTitleHeldBy
Indicates that a specific title, position, or rank was held or occupied by a particular entity (such as a person or organization).
-
E.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc6365288190ac46e37a887aa1e1 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:43 p.m.