Triple

T22023281
Position Surface form Disambiguated ID Type / Status
Subject Blood and Water E543893 entity
Predicate castMember P1668 FINISHED
Object Steph Song
Steph Song is a Canadian actress known for her work in film and television across North America and Asia.
E1514240 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: Steph Song | Statement: [Blood and Water, castMember, Steph Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steph Song
Context triple: [Blood and Water, castMember, Steph Song]
  • A. Rosanne
    Rosanne is a feminine given name most notably borne by American singer-songwriter and author Rosanne Cash.
  • B. Cheryl Song
    Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
  • C. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • D. Annette
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • E. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • 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: Steph Song
Triple: [Blood and Water, castMember, Steph Song]
Generated description
Steph Song is a Canadian actress known for her work in film and television across North America and Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steph Song
Target entity description: Steph Song is a Canadian actress known for her work in film and television across North America and Asia.
  • A. Rosanne
    Rosanne is a feminine given name most notably borne by American singer-songwriter and author Rosanne Cash.
  • B. Cheryl Song
    Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
  • C. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • D. Annette
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • E. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738722a88190898c5fc5f37e5b5d completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.