Triple
T16248585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Hunter |
E394438
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ezra Hannon
Ezra Hannon is a pseudonym of American author Evan Hunter, best known for his crime and mystery fiction.
|
E1201840
|
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: Ezra Hannon | Statement: [Evan Hunter, alsoKnownAs, Ezra Hannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezra Hannon Context triple: [Evan Hunter, alsoKnownAs, Ezra Hannon]
-
A.
Ezra Bowen
Ezra Bowen was the husband of American biographer Catherine Drinker Bowen, known primarily in relation to her life and work.
-
B.
Ezra Kramer
Ezra Kramer is a high-ranking CIA official in the film "The Bourne Ultimatum," involved in covert operations and the conspiracy surrounding Jason Bourne.
-
C.
Ezra Brooks
Ezra Brooks is a Kentucky straight bourbon whiskey brand known for its traditional charcoal-mellowed profile and value-oriented offerings.
-
D.
Paul Schoolman
Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
-
E.
Henry Hackett
Henry Hackett is the driven, overworked metro editor of a New York City tabloid newspaper in the film "The Paper," juggling ethical dilemmas, breaking news, and his strained personal life.
- 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: Ezra Hannon Triple: [Evan Hunter, alsoKnownAs, Ezra Hannon]
Generated description
Ezra Hannon is a pseudonym of American author Evan Hunter, best known for his crime and mystery fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ezra Hannon Target entity description: Ezra Hannon is a pseudonym of American author Evan Hunter, best known for his crime and mystery fiction.
-
A.
Ezra Bowen
Ezra Bowen was the husband of American biographer Catherine Drinker Bowen, known primarily in relation to her life and work.
-
B.
Ezra Kramer
Ezra Kramer is a high-ranking CIA official in the film "The Bourne Ultimatum," involved in covert operations and the conspiracy surrounding Jason Bourne.
-
C.
Ezra Brooks
Ezra Brooks is a Kentucky straight bourbon whiskey brand known for its traditional charcoal-mellowed profile and value-oriented offerings.
-
D.
Paul Schoolman
Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
-
E.
Henry Hackett
Henry Hackett is the driven, overworked metro editor of a New York City tabloid newspaper in the film "The Paper," juggling ethical dilemmas, breaking news, and his strained personal life.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24594f23c8190bd59fcb2585cb5e3 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f9aecec819087cecb1edad6b710 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0010462ba881909666051b2fc38d43 |
completed | May 10, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:04 a.m.