Triple
T21038326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran Jeffries |
E518250
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Steven J. Schaeffer
Steven J. Schaeffer is best known as the husband of American singer and actress Fran Jeffries.
|
E1481835
|
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: Steven J. Schaeffer | Statement: [Fran Jeffries, spouse, Steven J. Schaeffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven J. Schaeffer Context triple: [Fran Jeffries, spouse, Steven J. Schaeffer]
-
A.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
B.
Eric D. Schneider
Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
-
C.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
D.
Eric Schoffstall
Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
-
E.
Richard Schayer
Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
- 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: Steven J. Schaeffer Triple: [Fran Jeffries, spouse, Steven J. Schaeffer]
Generated description
Steven J. Schaeffer is best known as the husband of American singer and actress Fran Jeffries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven J. Schaeffer Target entity description: Steven J. Schaeffer is best known as the husband of American singer and actress Fran Jeffries.
-
A.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
B.
Eric D. Schneider
Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
-
C.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
D.
Eric Schoffstall
Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
-
E.
Richard Schayer
Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb34f4b08190a0e2a2a0fa4fdc24 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea2b9788190b41d3da0b5f3329e |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bf3466848190b2a5793f5f51efd7 |
completed | May 17, 2026, 1:14 p.m. |
Created at: April 16, 2026, 2:12 p.m.