Triple

T28638716
Position Surface form Disambiguated ID Type / Status
Subject Harsh Times E724860 entity
Predicate characterPlayedBy_Eva Longoria P1507 FINISHED
Object Sylvia
Sylvia is a character portrayed by Eva Longoria in the crime drama film "Harsh Times."
 E1829397 NE FINISHED

How this triple was built (3 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: [Harsh Times, characterPlayedBy_Eva Longoria, Sylvia]
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: [Harsh Times, characterPlayedBy_Eva Longoria, Sylvia]
Generated description
Sylvia is a character portrayed by Eva Longoria in the crime drama film "Harsh Times."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: characterPlayedBy_Eva Longoria
Context triple: [Harsh Times, characterPlayedBy_Eva Longoria, Sylvia]
  • A. leadActressCharacterName
    Indicates the name of the character portrayed by the lead actress in a given work.
  • B. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • C. portrayedBy chosen
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • D. characterPlayedBy_MichelleRyan
    Indicates that the subject is a character portrayed or played by Michelle Ryan.
  • E. leadActressPlaysCharacter
    Indicates that a lead actress portrays or performs the role of a specific character.
  • F. None of above.

Provenance (6 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf3863d08190b42550723cd50aa1 completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1cd020780c81908d33cd9d1676a762 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: April 28, 2026, 4:42 a.m.