Triple
T6516513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Williamson |
E148276
|
entity |
| Predicate | hasMade |
P71329
|
FINISHED |
| Object | public statements minimizing the Holocaust |
—
|
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: public statements minimizing the Holocaust | Statement: [Richard Williamson, hasMade, public statements minimizing the Holocaust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMade Context triple: [Richard Williamson, hasMade, public statements minimizing the Holocaust]
-
A.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
B.
hasGiven
Indicates that one entity has transferred or presented something to another entity.
-
C.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
- F. None of above. chosen
Provenance (4 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.