Triple
T23547937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singeing of the King of Spain’s Beard |
E577955
|
entity |
| Predicate | monarchOfOpponent |
P29251
|
FINISHED |
| Object | Philip II of Spain |
—
|
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: Philip II of Spain | Statement: [Singeing of the King of Spain’s Beard, monarchOfOpponent, Philip II of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchOfOpponent Context triple: [Singeing of the King of Spain’s Beard, monarchOfOpponent, Philip II of Spain]
-
A.
monarchOfDefendingSide
Indicates that one entity is the reigning monarch who rules or leads the side that is defending in a conflict, dispute, or competition.
-
B.
opponentMonarch
Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
-
C.
opponentKing
Indicates that one entity is the king belonging to the opposing or rival side of the other entity.
-
D.
opposingMonarch
chosen
Indicates that two monarchs are in opposition to each other, typically as rivals, enemies, or leaders of conflicting factions or states.
-
E.
monarchOfAttackingSide
Indicates that the subject is the reigning monarch who leads or represents the attacking side in a conflict or confrontation.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecc2af08190aec07cf9126d4e72 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.