Triple

T3933343
Position Surface form Disambiguated ID Type / Status
Subject Larry Daley E90847 entity
Predicate relationshipWith P10260 FINISHED
Object Rebecca Hutman
Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
E475704 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: Rebecca Hutman | Statement: [Larry Daley, relationshipWith, Rebecca Hutman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Hutman
Context triple: [Larry Daley, relationshipWith, Rebecca Hutman]
  • A. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Rebecca Feldman
    Rebecca Feldman is a theater artist best known for creating the original improvisational concept that evolved into the Tony Award–winning musical "The 25th Annual Putnam County Spelling Bee."
  • D. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • E. Barbara Guggenheim
    Barbara Guggenheim is a member of the prominent Guggenheim family, known for its significant influence in art patronage and philanthropy.
  • 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: Rebecca Hutman
Triple: [Larry Daley, relationshipWith, Rebecca Hutman]
Generated description
Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rebecca Hutman
Target entity description: Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
  • A. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Rebecca Feldman
    Rebecca Feldman is a theater artist best known for creating the original improvisational concept that evolved into the Tony Award–winning musical "The 25th Annual Putnam County Spelling Bee."
  • D. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • E. Barbara Guggenheim
    Barbara Guggenheim is a member of the prominent Guggenheim family, known for its significant influence in art patronage and philanthropy.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67a7c3188190bc5d75eb2efb653d completed March 21, 2026, 9:40 a.m.
NEDg Description generation batch_69be682cfe548190b657e0f1694a1142 completed March 21, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69be68a634c08190aadfc362199a8d7e completed March 21, 2026, 9:45 a.m.
Created at: March 9, 2026, 3:23 p.m.