Triple
T3114716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritzie Zivic |
E65034
|
entity |
| Predicate | dateTitleWon |
P45413
|
FINISHED |
| Object | 1940-10-04 |
—
|
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: 1940-10-04 | Statement: [Fritzie Zivic, dateTitleWon, 1940-10-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateTitleWon Context triple: [Fritzie Zivic, dateTitleWon, 1940-10-04]
-
A.
winnerTitleRecord
Indicates that a record documents the title or achievement associated with an entity that has won a particular contest, award, or competition.
-
B.
winnerTitle
Indicates the formal title or designation awarded to the entity that wins a particular competition, contest, or event.
-
C.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
D.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43dca688190ab041554220c5271 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.