Triple

T15368445
Position Surface form Disambiguated ID Type / Status
Subject Jack Goes Home E367475 entity
Predicate character P662 FINISHED
Object Teresa
Teresa is a character in the psychological horror-drama film "Jack Goes Home," playing a key role in the protagonist's unraveling family secrets and emotional turmoil.
E1154545 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: Teresa | Statement: [Jack Goes Home, character, Teresa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teresa
Context triple: [Jack Goes Home, character, Teresa]
  • A. Teresa
    Teresa is the middle name of Tamar Teresa Day Hennessy.
  • B. Teresa
    "Teresa" is a film project associated with screenwriter Stewart Stern, best known for his work on "Rebel Without a Cause."
  • C. Teresa
    Teresa is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • D. Teresa
    Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
  • E. Teresa
    Teresa is a Mexican telenovela that helped launch Salma Hayek to fame through her lead role as an ambitious, morally conflicted young woman.
  • 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: Teresa
Triple: [Jack Goes Home, character, Teresa]
Generated description
Teresa is a character in the psychological horror-drama film "Jack Goes Home," playing a key role in the protagonist's unraveling family secrets and emotional turmoil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teresa
Target entity description: Teresa is a character in the psychological horror-drama film "Jack Goes Home," playing a key role in the protagonist's unraveling family secrets and emotional turmoil.
  • A. Teresa
    Teresa is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • B. Teresa
    Teresa is a central figure in Carlos Fuentes’s novel "The Death of Artemio Cruz," representing both a pivotal love interest and a symbol of the social and emotional conflicts surrounding the protagonist.
  • C. Teresa
    Teresa is a Mexican telenovela that helped launch Salma Hayek to fame through her lead role as an ambitious, morally conflicted young woman.
  • D. Teresa
    "Teresa" is a film project associated with screenwriter Stewart Stern, best known for his work on "Rebel Without a Cause."
  • E. Teresa
    Teresa is a municipality in the province of Rizal in the Philippines, known for its residential communities and proximity to Metro Manila.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff142e99e081909d01cac0416f1bde completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff14c61eb08190ba854b541eb1ce14 completed May 9, 2026, 11:04 a.m.
Created at: April 10, 2026, 3:18 a.m.