Triple
T24092865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis IV of France |
E596833
|
entity |
| Predicate | notableNobleOpponent |
P11706
|
FINISHED |
| Object | Hugh the Great |
—
|
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: Hugh the Great | Statement: [Louis IV of France, notableNobleOpponent, Hugh the Great]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableNobleOpponent Context triple: [Louis IV of France, notableNobleOpponent, Hugh the Great]
-
A.
notableOpponentOfMonarch
Indicates that one entity is a historically significant or prominent opponent of a particular monarch, often through political, military, or ideological conflict.
-
B.
notableCombatant
Indicates that an entity is recognized as a significant or distinguished participant in a particular conflict or combat event.
-
C.
opponentMonarch
Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
-
D.
notableAdversary
chosen
Indicates that one entity is recognized as a significant or prominent opponent or rival of another entity.
-
E.
laterEnemyOf
Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd221ebc8190801fa6c08987c126 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:56 p.m.