Triple
T3489646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Stengel |
E73693
|
entity |
| Predicate | numberOfALPennantsAsManager |
P21793
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Casey Stengel, numberOfALPennantsAsManager, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfALPennantsAsManager Context triple: [Casey Stengel, numberOfALPennantsAsManager, 10]
-
A.
pennantsWonAsManager
chosen
Indicates the number of league pennants a person has won in their role as a team manager.
-
B.
managerOfLeaguePennant
Indicates that a person serves as the manager of the team that won a particular league pennant.
-
C.
worldSeriesTitlesAsManager
Indicates the number of World Series championships an individual has won specifically in the role of a team manager.
-
D.
totalSeasonsManaged
Indicates the total number of seasons during which an entity has managed another entity (such as a team, organization, or project).
-
E.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.