Triple
T11024829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overbrook High School |
E260591
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Hal Lear
Hal Lear was an American professional basketball player best known as a standout guard at Temple University in the 1950s and a member of the Philadelphia Big 5 Hall of Fame.
|
E900480
|
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 Lear | Statement: [Overbrook High School, notableAlumnus, Hal Lear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Lear Context triple: [Overbrook High School, notableAlumnus, Hal Lear]
-
A.
Tom Hallion
Tom Hallion is a veteran Major League Baseball umpire known for his long career and distinctive strike call.
-
B.
Herb Tarlek
Herb Tarlek is a loud, tacky-suited, and comically inept advertising salesman character from the WKRP in Cincinnati television franchise.
-
C.
Kenith Trodd
Kenith Trodd is a British television producer best known for his collaborations with writer Dennis Potter on acclaimed dramas such as "The Singing Detective."
-
D.
Hal
Hal is a masculine given name, commonly used as a diminutive form of Harold.
-
E.
Ridley
Ridley is the given name of the renowned British film director and producer Ridley Scott.
- 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 Lear Triple: [Overbrook High School, notableAlumnus, Hal Lear]
Generated description
Hal Lear was an American professional basketball player best known as a standout guard at Temple University in the 1950s and a member of the Philadelphia Big 5 Hall of Fame.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hal Lear Target entity description: Hal Lear was an American professional basketball player best known as a standout guard at Temple University in the 1950s and a member of the Philadelphia Big 5 Hall of Fame.
-
A.
Tom Hallion
Tom Hallion is a veteran Major League Baseball umpire known for his long career and distinctive strike call.
-
B.
Herb Tarlek
Herb Tarlek is a loud, tacky-suited, and comically inept advertising salesman character from the WKRP in Cincinnati television franchise.
-
C.
Kenith Trodd
Kenith Trodd is a British television producer best known for his collaborations with writer Dennis Potter on acclaimed dramas such as "The Singing Detective."
-
D.
Hal
Hal is a masculine given name, commonly used as a diminutive form of Harold.
-
E.
Ridley
Ridley is the given name of the renowned British film director and producer Ridley Scott.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37523f8548190ad40fa76660232a8 |
completed | April 18, 2026, 12:12 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.