Triple
T30350294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD DVD |
E771971
|
entity |
| Predicate | declaredDefeatedOn |
P30917
|
FINISHED |
| Object | 2008-02-19 |
—
|
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: 2008-02-19 | Statement: [HD DVD, declaredDefeatedOn, 2008-02-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declaredDefeatedOn Context triple: [HD DVD, declaredDefeatedOn, 2008-02-19]
-
A.
defeatedCandidate
Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
-
B.
finalDefeatDate
chosen
Indicates the date on which an entity was ultimately and conclusively defeated.
-
C.
losesElectionFor
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
-
D.
leadingCandidateOfDefeatedParty
Indicates that an individual is the primary or most prominent candidate of a political party that has lost an election or contest.
-
E.
defeatedPresidentialCandidate
Indicates that one entity won an election against and thereby caused the loss of another entity who was running for president.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820b4b8c81908f5bbae956565ec0 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:56 p.m.