Triple

T4239999
Position Surface form Disambiguated ID Type / Status
Subject Jennifer L. Mnookin E95388 entity
Predicate familyName P18 FINISHED
Object Mnookin
Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
 E424552 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: Mnookin | Statement: [Jennifer L. Mnookin, familyName, Mnookin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mnookin
Context triple: [Jennifer L. Mnookin, familyName, Mnookin]
  • A. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • B. Carver
    Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
  • C. Carver
    Carver is the person after whom Carver Glacier in Oregon was named, likely an early explorer or notable figure associated with the region.
  • D. Carver
    Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
  • E. Carver
    Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
  • 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: Mnookin
Triple: [Jennifer L. Mnookin, familyName, Mnookin]
Generated description
Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mnookin
Target entity description: Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
  • A. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • B. Carver
    Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
  • C. Carver
    Carver is the person after whom Carver Glacier in Oregon was named, likely an early explorer or notable figure associated with the region.
  • D. Carver
    Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
  • E. Carver
    Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e77fb5c8190b298818acb68ff63 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86fe7708190a64ba187fb302c9a completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:05 p.m.