Triple

T3237189
Position Surface form Disambiguated ID Type / Status
Subject The Tale E67882 entity
Predicate director P255 FINISHED
Object Jennifer Fox
Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
E340336 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: Jennifer Fox | Statement: [The Tale, director, Jennifer Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Fox
Context triple: [The Tale, director, Jennifer Fox]
  • A. Jennifer Fox
    Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
  • B. Laura Poitras
    Laura Poitras is an American documentary filmmaker and journalist best known for her work on U.S. surveillance and national security, including the Oscar-winning film "Citizenfour" about Edward Snowden.
  • C. Jane Kurson
    Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
  • D. Ari Wegner
    Ari Wegner is an acclaimed Australian cinematographer known for her visually striking work on films such as "The Power of the Dog."
  • E. Rory Kennedy
    Rory Kennedy is an American documentary filmmaker known for her socially conscious films and as the youngest child of Senator Robert F. Kennedy.
  • 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: Jennifer Fox
Triple: [The Tale, director, Jennifer Fox]
Generated description
Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jennifer Fox
Target entity description: Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
  • A. Jennifer Fox
    Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
  • B. Laura Poitras
    Laura Poitras is an American documentary filmmaker and journalist best known for her work on U.S. surveillance and national security, including the Oscar-winning film "Citizenfour" about Edward Snowden.
  • C. Jane Kurson
    Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
  • D. Ari Wegner
    Ari Wegner is an acclaimed Australian cinematographer known for her visually striking work on films such as "The Power of the Dog."
  • E. Rory Kennedy
    Rory Kennedy is an American documentary filmmaker known for her socially conscious films and as the youngest child of Senator Robert F. Kennedy.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.