Triple

T9375169
Position Surface form Disambiguated ID Type / Status
Subject Ed O’Brien E225628 entity
Predicate spouse P13 FINISHED
Object Susan Kobrin
Susan Kobrin is known as the spouse of American social psychologist Ed O’Brien.
 E813656 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: Susan Kobrin | Statement: [Ed O’Brien, spouse, Susan Kobrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan Kobrin
Context triple: [Ed O’Brien, spouse, Susan Kobrin]
  • A. Susan Kohner
    Susan Kohner is an American former actress best known for her Oscar-nominated role in the 1959 film "Imitation of Life."
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Liz Gorinsky
    Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
  • D. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • E. Judy Levitt
    Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
  • 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: Susan Kobrin
Triple: [Ed O’Brien, spouse, Susan Kobrin]
Generated description
Susan Kobrin is known as the spouse of American social psychologist Ed O’Brien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan Kobrin
Target entity description: Susan Kobrin is known as the spouse of American social psychologist Ed O’Brien.
  • A. Susan Kohner
    Susan Kohner is an American former actress best known for her Oscar-nominated role in the 1959 film "Imitation of Life."
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Liz Gorinsky
    Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
  • D. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • E. Judy Levitt
    Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50a8b6f48190b77d93a172c54953 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e39d908190a992a7d00524515d completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aa1e9a48190bf26da5482fd0770 completed April 4, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69d18b6a2fb0819092ee274310721b50 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 7:43 p.m.