Triple

T14509306
Position Surface form Disambiguated ID Type / Status
Subject Totally Under Control E340353 entity
Predicate director P255 FINISHED
Object Suzanne Hillinger
Suzanne Hillinger is a documentary filmmaker best known for co-directing the political documentary "Totally Under Control" about the U.S. response to the COVID-19 pandemic.
E1124303 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: Suzanne Hillinger | Statement: [Totally Under Control, director, Suzanne Hillinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzanne Hillinger
Context triple: [Totally Under Control, director, Suzanne Hillinger]
  • A. Suzanne Zimmer
    Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
  • B. Suzanne Verdal
    Suzanne Verdal is a Canadian woman best known as the real-life muse who inspired Leonard Cohen’s song “Suzanne.”
  • C. Suzanne Hahn
    Suzanne Hahn is known as the first wife of American actor John Astin, with whom she was married in the mid-20th century.
  • D. Suzanne Mulkern
    Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
  • E. Suzanne Crough
    Suzanne Crough was an American child actress best known for playing youngest daughter Tracy Partridge on the 1970s television sitcom "The Partridge Family."
  • 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: Suzanne Hillinger
Triple: [Totally Under Control, director, Suzanne Hillinger]
Generated description
Suzanne Hillinger is a documentary filmmaker best known for co-directing the political documentary "Totally Under Control" about the U.S. response to the COVID-19 pandemic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suzanne Hillinger
Target entity description: Suzanne Hillinger is a documentary filmmaker best known for co-directing the political documentary "Totally Under Control" about the U.S. response to the COVID-19 pandemic.
  • A. Suzanne Zimmer
    Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
  • B. Suzanne Verdal
    Suzanne Verdal is a Canadian woman best known as the real-life muse who inspired Leonard Cohen’s song “Suzanne.”
  • C. Suzanne Hahn
    Suzanne Hahn is known as the first wife of American actor John Astin, with whom she was married in the mid-20th century.
  • D. Suzanne Mulkern
    Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
  • E. Suzanne Crough
    Suzanne Crough was an American child actress best known for playing youngest daughter Tracy Partridge on the 1970s television sitcom "The Partridge Family."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e837dc8190b72d56d60ba386e8 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe663e52d08190800d86692d8c7be1 completed May 8, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe677248b08190a7d8dcaed116e307 completed May 8, 2026, 10:45 p.m.
Created at: April 10, 2026, 1:21 a.m.