Triple
T8613712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank |
E203979
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pat Frank
Pat Frank was an American novelist and journalist best known for his Cold War-era apocalyptic novel "Alas, Babylon."
|
E745434
|
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: Pat Frank | Statement: [Frank, hasNotableBearer, Pat Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Frank Context triple: [Frank, hasNotableBearer, Pat Frank]
-
A.
Samuel Fisk
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
B.
Mark Helprin
Mark Helprin is an American novelist and short story writer known for his richly imaginative, lyrical fiction, including the novel "Winter's Tale."
-
C.
John W. Blum
John W. Blum is a screenwriter best known for his work on the comedy film "The Man from the Diners' Club."
-
D.
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
-
E.
George W. Kenner
George W. Kenner was an organic chemist and academic known for mentoring future Nobel laureate Richard J. Roberts during his doctoral studies.
- 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: Pat Frank Triple: [Frank, hasNotableBearer, Pat Frank]
Generated description
Pat Frank was an American novelist and journalist best known for his Cold War-era apocalyptic novel "Alas, Babylon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pat Frank Target entity description: Pat Frank was an American novelist and journalist best known for his Cold War-era apocalyptic novel "Alas, Babylon."
-
A.
Samuel Fisk
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
B.
Mark Helprin
Mark Helprin is an American novelist and short story writer known for his richly imaginative, lyrical fiction, including the novel "Winter's Tale."
-
C.
John W. Blum
John W. Blum is a screenwriter best known for his work on the comedy film "The Man from the Diners' Club."
-
D.
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
-
E.
George W. Kenner
George W. Kenner was an organic chemist and academic known for mentoring future Nobel laureate Richard J. Roberts during his doctoral studies.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4700b9e08190b03f05f4757cfc47 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea91c30ec81908dafc1caf057e41c |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9e685388190a4be9d2135dc02d0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaababe2c8190bc47430d33bfdbaa |
completed | April 2, 2026, 5:43 p.m. |
Created at: March 30, 2026, 6:25 p.m.