Triple

T22315973
Position Surface form Disambiguated ID Type / Status
Subject Tisa Farrow E551642 entity
Predicate notableWork P4 FINISHED
Object Homer
"Homer" is a 1970s coming-of-age drama film featuring actress Tisa Farrow in one of her notable early roles.
 E1530200 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: Homer | Statement: [Tisa Farrow, notableWork, Homer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Homer
Context triple: [Tisa Farrow, notableWork, Homer]
  • A. Homer
    Homer is the stage name of Henry D. Haynes, an American country music comedian and musician best known as half of the duo Homer and Jethro.
  • B. Homer
    Homer is a small coastal city on Alaska’s Kenai Peninsula known for its scenic Kachemak Bay setting, fishing, and arts community.
  • C. Homer
    Homer is a small town in northeastern Georgia, United States, serving as the county seat of Banks County.
  • D. Homer
    Homer is a common surname of English origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • E. Homer
    Homer is the given name of Homer Stillé Cummings, an American lawyer and politician who served as U.S. Attorney General under President Franklin D. Roosevelt.
  • 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: Homer
Triple: [Tisa Farrow, notableWork, Homer]
Generated description
"Homer" is a 1970s coming-of-age drama film featuring actress Tisa Farrow in one of her notable early roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Homer
Target entity description: "Homer" is a 1970s coming-of-age drama film featuring actress Tisa Farrow in one of her notable early roles.
  • A. Homer
    Homer is the eternally childlike yet centuries-old vampire in the 1987 cult horror film "Near Dark," known for his unsettling combination of a young boy’s body and an adult predator’s mind.
  • B. Homer
    Homer is the stage name of Henry D. Haynes, an American country music comedian and musician best known as half of the duo Homer and Jethro.
  • C. Homer
    Homer is a common surname of English origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • D. Homer
    Homer is the given name of Homer Stillé Cummings, an American lawyer and politician who served as U.S. Attorney General under President Franklin D. Roosevelt.
  • E. Homer
    Homer is a small town in northeastern Georgia, United States, serving as the county seat of Banks County.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0accaa3b7c81908ffa1bddc6a65ee1 completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd57919c8190a24a7e92d4c92f75 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0acdf32f608190907c4f60265048e0 completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:42 p.m.