Triple

T11435334
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary E270989 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Passing
Passing is a 1929 novel by Nella Larsen that explores race, identity, and the phenomenon of racial passing among African American women in Harlem.
 E199786 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: Passing | Statement: [Sanctuary, relatedWorkByAuthor, Passing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Passing
Context triple: [Sanctuary, relatedWorkByAuthor, Passing]
  • A. Passing
    "Passing" is a 2021 black-and-white drama film, based on Nella Larsen’s novel, that explores racial identity and colorism in 1920s Harlem.
  • B. Pass Out
    "Pass Out" is a song featured on the album "The Red Light District" by rapper Ludacris.
  • C. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • D. Passage
    Passage is a science fiction novel by Connie Willis that explores near-death experiences through a blend of medical mystery, psychological depth, and dark humor.
  • E. Winning
    "Winning" is a popular rock song by Santana, known for its uplifting lyrics and melodic guitar-driven sound.
  • 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: Passing
Triple: [Sanctuary, relatedWorkByAuthor, Passing]
Generated description
Passing is a 1929 novel by Nella Larsen that explores race, identity, and the phenomenon of racial passing among African American women in Harlem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Passing
Target entity description: Passing is a 1929 novel by Nella Larsen that explores race, identity, and the phenomenon of racial passing among African American women in Harlem.
  • A. Passing chosen
    "Passing" is a 2021 black-and-white drama film, based on Nella Larsen’s novel, that explores racial identity and colorism in 1920s Harlem.
  • B. Pass Out
    "Pass Out" is a song featured on the album "The Red Light District" by rapper Ludacris.
  • C. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • D. Passage
    Passage is a science fiction novel by Connie Willis that explores near-death experiences through a blend of medical mystery, psychological depth, and dark humor.
  • E. Winning
    "Winning" is a popular rock song by Santana, known for its uplifting lyrics and melodic guitar-driven sound.
  • F. None of above.

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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624782cf88190b696a1c7c9a56395 completed April 20, 2026, 1:04 p.m.
NEDg Description generation batch_69e62aee8fb88190b5973c61e692087f completed April 20, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69e67394e7f081908fcc602c84eb4a65 completed April 20, 2026, 6:42 p.m.
Created at: April 8, 2026, 9:35 p.m.