Triple

T14455899
Position Surface form Disambiguated ID Type / Status
Subject Coco Before Chanel E358458 entity
Predicate producer P490 FINISHED
Object Caroline Benjo
Caroline Benjo is a French film producer known for her work on acclaimed European art-house and independent films.
E1103765 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: Caroline Benjo | Statement: [Coco Before Chanel, producer, Caroline Benjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Benjo
Context triple: [Coco Before Chanel, producer, Caroline Benjo]
  • A. Caroline Heubel
    Caroline Heubel was the mother of Jenny von Westphalen, who later became the wife of philosopher and economist Karl Marx.
  • B. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • C. Caroline Catz
    Caroline Catz is an English actress best known for her roles in television dramas such as "Doc Martin" and "DCI Banks."
  • D. Caroline Aaron
    Caroline Aaron is an American actress known for her character roles in film, television, and theater, including frequent collaborations with director Woody Allen and a prominent part in the series "The Marvelous Mrs. Maisel."
  • E. Caroline Gomes
    Caroline Gomes is a Brazilian human rights activist recognized internationally for her work defending marginalized communities and democratic freedoms.
  • 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: Caroline Benjo
Triple: [Coco Before Chanel, producer, Caroline Benjo]
Generated description
Caroline Benjo is a French film producer known for her work on acclaimed European art-house and independent films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caroline Benjo
Target entity description: Caroline Benjo is a French film producer known for her work on acclaimed European art-house and independent films.
  • A. Caroline Heubel
    Caroline Heubel was the mother of Jenny von Westphalen, who later became the wife of philosopher and economist Karl Marx.
  • B. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • C. Caroline Catz
    Caroline Catz is an English actress best known for her roles in television dramas such as "Doc Martin" and "DCI Banks."
  • D. Caroline Aaron
    Caroline Aaron is an American actress known for her character roles in film, television, and theater, including frequent collaborations with director Woody Allen and a prominent part in the series "The Marvelous Mrs. Maisel."
  • E. Caroline Gomes
    Caroline Gomes is a Brazilian human rights activist recognized internationally for her work defending marginalized communities and democratic freedoms.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a39d55c8190bbc7b76fab6b8b39 completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7ad02938819089b7d9a83c9006d3 completed May 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b1757e88190a90c671ffe6ce978 completed May 8, 2026, 5:56 a.m.
Created at: April 10, 2026, 1:19 a.m.