Triple
T6810688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal League |
E156623
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Hal Chase
Hal Chase was an early 20th-century American first baseman renowned for his defensive brilliance but notorious for his involvement in gambling and game-fixing scandals.
|
E620539
|
NE FINISHED |
How this triple was built (4 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: Hal Chase | Statement: [Federal League, notablePlayer, Hal Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Chase Context triple: [Federal League, notablePlayer, Hal Chase]
-
A.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
B.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
-
C.
Sam Catchem
Sam Catchem is a tough, streetwise police detective and longtime partner of Dick Tracy in the classic American comic strip.
-
D.
Charlie Jaffey
Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
-
E.
Darren Chukitus
Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hal Chase Triple: [Federal League, notablePlayer, Hal Chase]
Generated description
Hal Chase was an early 20th-century American first baseman renowned for his defensive brilliance but notorious for his involvement in gambling and game-fixing scandals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hal Chase Target entity description: Hal Chase was an early 20th-century American first baseman renowned for his defensive brilliance but notorious for his involvement in gambling and game-fixing scandals.
-
A.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
B.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
-
C.
Sam Catchem
Sam Catchem is a tough, streetwise police detective and longtime partner of Dick Tracy in the classic American comic strip.
-
D.
Charlie Jaffey
Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
-
E.
Darren Chukitus
Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
- F. None of above. chosen
Provenance (5 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa7dc3c81909ef422b5c51ae6be |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71e7cd6448190845888760c677eda |
completed | March 28, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71edd37048190bf4de088ad9f11de |
completed | March 28, 2026, 12:20 a.m. |
Created at: March 27, 2026, 2:16 p.m.