Triple
T3214469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiz Kids |
E67356
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Granny Hamner
Granny Hamner was an American Major League Baseball shortstop and three-time All-Star best known for starring with the Philadelphia Phillies’ “Whiz Kids” of the early 1950s.
|
E337143
|
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: Granny Hamner | Statement: [Whiz Kids, notablePlayer, Granny Hamner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granny Hamner Context triple: [Whiz Kids, notablePlayer, Granny Hamner]
-
A.
Dolly Sharp
Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
-
B.
Granny
Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
-
C.
Helga Cranston
Helga Cranston was a film editor best known for her work on Laurence Olivier’s 1948 adaptation of Shakespeare’s "Hamlet."
-
D.
Marcella Spruce
Marcella Spruce is the sister of American author Tabitha King and a member of the extended King literary family.
-
E.
Nannie
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
- 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: Granny Hamner Triple: [Whiz Kids, notablePlayer, Granny Hamner]
Generated description
Granny Hamner was an American Major League Baseball shortstop and three-time All-Star best known for starring with the Philadelphia Phillies’ “Whiz Kids” of the early 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granny Hamner Target entity description: Granny Hamner was an American Major League Baseball shortstop and three-time All-Star best known for starring with the Philadelphia Phillies’ “Whiz Kids” of the early 1950s.
-
A.
Dolly Sharp
Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
-
B.
Granny
Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
-
C.
Helga Cranston
Helga Cranston was a film editor best known for her work on Laurence Olivier’s 1948 adaptation of Shakespeare’s "Hamlet."
-
D.
Marcella Spruce
Marcella Spruce is the sister of American author Tabitha King and a member of the extended King literary family.
-
E.
Nannie
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2623c90cc819085a94adfe3eb3f3f |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2630060288190b0cf236863a5bb69 |
completed | March 12, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264cbe2a48190baad7f335cdc37ba |
completed | March 12, 2026, 7:01 a.m. |
Created at: March 8, 2026, 3:07 p.m.