Triple
T20157158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEN/Jean Stein Book Award |
E491601
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Jean Stein
Jean Stein was an American author and oral historian known for her innovative interview-based books and influential role in New York’s literary and cultural circles.
|
E1414866
|
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: Jean Stein | Statement: [PEN/Jean Stein Book Award, namedAfter, Jean Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Stein Context triple: [PEN/Jean Stein Book Award, namedAfter, Jean Stein]
-
A.
Ruth Franklin
Ruth Franklin is an American literary critic and biographer best known for her acclaimed biography of novelist Shirley Jackson.
-
B.
Jane Pollack
Jane Pollack is known as the former wife of American character actor Lance Henriksen.
-
C.
Vivian Janis
Vivian Janis was an American actress best known for her work in mid-20th-century film and television and for her marriage to actor Robert Cummings.
-
D.
Jane Elaine Schook
Jane Elaine Schook was the mother of American playwright and actor Sam Shepard.
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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: Jean Stein Triple: [PEN/Jean Stein Book Award, namedAfter, Jean Stein]
Generated description
Jean Stein was an American author and oral historian known for her innovative interview-based books and influential role in New York’s literary and cultural circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Stein Target entity description: Jean Stein was an American author and oral historian known for her innovative interview-based books and influential role in New York’s literary and cultural circles.
-
A.
Ruth Franklin
Ruth Franklin is an American literary critic and biographer best known for her acclaimed biography of novelist Shirley Jackson.
-
B.
Jane Pollack
Jane Pollack is known as the former wife of American character actor Lance Henriksen.
-
C.
Vivian Janis
Vivian Janis was an American actress best known for her work in mid-20th-century film and television and for her marriage to actor Robert Cummings.
-
D.
Jane Elaine Schook
Jane Elaine Schook was the mother of American playwright and actor Sam Shepard.
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083476e2d08190807674e3f61382bc |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08351511888190a144ff037abdddfb |
completed | May 16, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0835e4248c8190817907ca46cd5cff |
completed | May 16, 2026, 9:16 a.m. |
Created at: April 11, 2026, 11:34 p.m.