Triple

T6764626
Position Surface form Disambiguated ID Type / Status
Subject Christine Jeffs E154685 entity
Predicate directed P7373 FINISHED
Object Sylvia
"Sylvia" is a biographical drama film about poet Sylvia Plath, focusing on her turbulent marriage to Ted Hughes and her creative and emotional struggles.
E619021 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: Sylvia | Statement: [Christine Jeffs, directed, Sylvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia
Context triple: [Christine Jeffs, directed, Sylvia]
  • A. Sylvia
    Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
  • B. Sylvia
    Sylvia is a key character in the film "The Truman Show," a woman who tries to reveal the truth to Truman about his manufactured reality and becomes his inspiration to escape.
  • C. Sylvia’s
    Sylvia’s is a famed soul food restaurant in Harlem, New York City, renowned for its Southern cuisine and cultural significance in the neighborhood.
  • D. Sylvia’s Mother
    "Sylvia’s Mother" is a country-pop song, popularized by Dr. Hook & the Medicine Show, that tells a bittersweet story of lost love through a one-sided phone call.
  • E. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • 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: Sylvia
Triple: [Christine Jeffs, directed, Sylvia]
Generated description
"Sylvia" is a biographical drama film about poet Sylvia Plath, focusing on her turbulent marriage to Ted Hughes and her creative and emotional struggles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sylvia
Target entity description: "Sylvia" is a biographical drama film about poet Sylvia Plath, focusing on her turbulent marriage to Ted Hughes and her creative and emotional struggles.
  • A. Sylvia
    Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
  • B. Sylvia
    Sylvia is a key character in the film "The Truman Show," a woman who tries to reveal the truth to Truman about his manufactured reality and becomes his inspiration to escape.
  • C. Sylvia’s
    Sylvia’s is a famed soul food restaurant in Harlem, New York City, renowned for its Southern cuisine and cultural significance in the neighborhood.
  • D. Sylvia’s Mother
    "Sylvia’s Mother" is a country-pop song, popularized by Dr. Hook & the Medicine Show, that tells a bittersweet story of lost love through a one-sided phone call.
  • E. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d217bbfc81908c9e55efaf7f8594 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a7b50388190b380f20f0213f0e5 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b25a5ec8190b5b89f1cf9aaffad completed March 28, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69c71b790a8c8190ae06e4a0f4f14130 completed March 28, 2026, 12:06 a.m.
Created at: March 27, 2026, 2:12 p.m.