Triple
T3789990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Cicotte |
E89620
|
entity |
| Predicate | chargeOrClaim |
P1693
|
FINISHED |
| Object | conspiracy to fix the 1919 World Series |
—
|
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: conspiracy to fix the 1919 World Series | Statement: [Eddie Cicotte, chargeOrClaim, conspiracy to fix the 1919 World Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargeOrClaim Context triple: [Eddie Cicotte, chargeOrClaim, conspiracy to fix the 1919 World Series]
-
A.
charge
chosen
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
-
B.
chargesVia
Indicates that one entity charges or powers another entity using a specified medium, method, or interface.
-
C.
chargeOftenUsed
Indicates that an entity is frequently subjected to or associated with a particular charge (such as a legal, financial, or electrical charge).
-
D.
hasCharge
Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
-
E.
centralCharge
Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.