Triple

T10529951
Position Surface form Disambiguated ID Type / Status
Subject Jane Rosenthal E248410 entity
Predicate hasChild P369 FINISHED
Object Alexandra Hatkoff E882972 NE FINISHED

How this triple was built (2 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: Alexandra Hatkoff | Statement: [Jane Rosenthal, hasChild, Alexandra Hatkoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Hatkoff
Context triple: [Jane Rosenthal, hasChild, Alexandra Hatkoff]
  • A. Isabel Hatkoff chosen
    Isabel Hatkoff is the daughter of American film producer and Tribeca Film Festival co-founder Jane Rosenthal.
  • B. Alexandra Papenfus
    Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
  • C. Heather Zichal
    Heather Zichal is an American climate and energy policy expert who served as a senior adviser in the Obama administration, particularly on environmental and clean energy initiatives.
  • D. Alexandra Kostoff
    Alexandra Kostoff was the first wife of American novelist and screenwriter Sidney Sheldon.
  • E. Kathryn Himoff
    Kathryn Himoff is a film editor known for her work on feature films, including editing the biographical drama "Pollock."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69de843dfe708190a14dc54be56b112d completed April 14, 2026, 6:15 p.m.
Created at: April 6, 2026, 12:30 p.m.