Triple
T13287585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnaud Amalric |
E316482
|
entity |
| Predicate | quoteAttributedContext |
P21904
|
FINISHED |
| Object | response about distinguishing heretics during the sack of Béziers |
—
|
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: response about distinguishing heretics during the sack of Béziers | Statement: [Arnaud Amalric, quoteAttributedContext, response about distinguishing heretics during the sack of Béziers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quoteAttributedContext Context triple: [Arnaud Amalric, quoteAttributedContext, response about distinguishing heretics during the sack of Béziers]
-
A.
quoteAttributedTo
chosen
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
B.
quotedOn
Indicates that one entity is cited, referenced, or mentioned within another source, document, or context.
-
C.
quotedAgainst
Indicates that one entity is cited or quoted in opposition to, or as evidence against, another entity.
-
D.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
-
E.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.