Triple
T10089333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Endore |
E215301
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Samuel Guy Endore
Samuel Guy Endore was an American novelist and screenwriter best known for his historical and horror fiction, including the novel "The Werewolf of Paris."
|
E840876
|
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: Samuel Guy Endore | Statement: [Guy Endore, birthName, Samuel Guy Endore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Guy Endore Context triple: [Guy Endore, birthName, Samuel Guy Endore]
-
A.
Samuel Ehrlich
Samuel Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
B.
Henry Salomon
Henry Salomon was an American television producer and writer best known for creating and producing the acclaimed World War II documentary series "Victory at Sea."
-
C.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
D.
Benjamin Ettenberg
Benjamin Ettenberg is a charming, intellectually sharp doctor who becomes a significant romantic interest for Midge in the television series "The Marvelous Mrs. Maisel."
-
E.
Samuel Unger
Samuel Unger is a notable individual recognized as a prominent bearer of the Unger surname.
- 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: Samuel Guy Endore Triple: [Guy Endore, birthName, Samuel Guy Endore]
Generated description
Samuel Guy Endore was an American novelist and screenwriter best known for his historical and horror fiction, including the novel "The Werewolf of Paris."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Guy Endore Target entity description: Samuel Guy Endore was an American novelist and screenwriter best known for his historical and horror fiction, including the novel "The Werewolf of Paris."
-
A.
Samuel Ehrlich
Samuel Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
B.
Henry Salomon
Henry Salomon was an American television producer and writer best known for creating and producing the acclaimed World War II documentary series "Victory at Sea."
-
C.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
D.
Benjamin Ettenberg
Benjamin Ettenberg is a charming, intellectually sharp doctor who becomes a significant romantic interest for Midge in the television series "The Marvelous Mrs. Maisel."
-
E.
Samuel Unger
Samuel Unger is a notable individual recognized as a prominent bearer of the Unger surname.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b7901ea08190a48e984356bd3d71 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b8813f9c8190a85462efb7a0a517 |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:01 p.m.