Triple
T1783915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wave theory of light |
E39346
|
entity |
| Predicate | historicalOpponent |
P22384
|
FINISHED |
| Object | Isaac Newton's corpuscular theory |
—
|
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: Isaac Newton's corpuscular theory | Statement: [wave theory of light, historicalOpponent, Isaac Newton's corpuscular theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalOpponent Context triple: [wave theory of light, historicalOpponent, Isaac Newton's corpuscular theory]
-
A.
hasHistoricRivalry
chosen
Indicates a long-standing, often competitive or adversarial relationship between two entities, typically rooted in significant past conflicts or repeated opposition.
-
B.
battleOpponent
Indicates that two entities are engaged in or designated as opponents in a battle or combat scenario.
-
C.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
D.
facedOpponent
Indicates that one entity directly confronted or competed against another as an opponent in a contest, conflict, or challenge.
-
E.
keyOpponents
Indicates that the subject has primary or most significant opponents identified by the object.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.