Triple
T35916794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Allen Diddle |
E1038769
|
entity |
| Predicate | totalLosses |
P8293
|
FINISHED |
| Object | 302 |
—
|
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: 302 | Statement: [Edgar Allen Diddle, totalLosses, 302]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalLosses Context triple: [Edgar Allen Diddle, totalLosses, 302]
-
A.
winnerLosses
Indicates the number of losses incurred by the winner in a given competition or contest.
-
B.
careerLosses
chosen
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
-
C.
seasonRecordLosses
Indicates the number of games a team lost during a specific season.
-
D.
regularSeasonLosses
Indicates the number of games a team lost during the regular season portion of a competition or league.
-
E.
mostGamesLostBy
Indicates that one entity holds the record for having lost the greatest number of games to another entity.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:07 p.m.