Triple
T13669433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Preston Williams |
E327708
|
entity |
| Predicate | seasonLossTotal |
P14131
|
FINISHED |
| Object | 1919 season 11 losses |
—
|
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: 1919 season 11 losses | Statement: [Claude Preston Williams, seasonLossTotal, 1919 season 11 losses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonLossTotal Context triple: [Claude Preston Williams, seasonLossTotal, 1919 season 11 losses]
-
A.
seasonRecordLosses
chosen
Indicates the number of games a team lost during a specific season.
-
B.
regularSeasonLosses
Indicates the number of games a team lost during the regular season portion of a competition or league.
-
C.
seasonOfLosingTeam
Indicates the specific sports season during which the referenced team is characterized as the losing or defeated team in a competition or league.
-
D.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
E.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.