Triple

T18378532
Position Surface form Disambiguated ID Type / Status
Subject The Squaw Man (1914 film) E446378 entity
Predicate stars P1956 FINISHED
Object Red Wing
Red Wing was a Native American actress of the silent film era, known for being one of the earliest Indigenous women to appear in Hollywood productions.
 E1321303 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: Red Wing | Statement: [The Squaw Man (1914 film), stars, Red Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Wing
Context triple: [The Squaw Man (1914 film), stars, Red Wing]
  • A. Pale Hose
    Pale Hose is a traditional nickname for the Chicago White Sox Major League Baseball team.
  • B. Big Boots
    "Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
  • C. Gypsy Boots
    Gypsy Boots is a song by the American rock band Aerosmith from their 1985 album "Done with Mirrors."
  • D. The Shoe
    The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
  • E. Mycoskie
    Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
  • 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: Red Wing
Triple: [The Squaw Man (1914 film), stars, Red Wing]
Generated description
Red Wing was a Native American actress of the silent film era, known for being one of the earliest Indigenous women to appear in Hollywood productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Wing
Target entity description: Red Wing was a Native American actress of the silent film era, known for being one of the earliest Indigenous women to appear in Hollywood productions.
  • A. Pale Hose
    Pale Hose is a traditional nickname for the Chicago White Sox Major League Baseball team.
  • B. Big Boots
    "Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
  • C. Gypsy Boots
    Gypsy Boots is a song by the American rock band Aerosmith from their 1985 album "Done with Mirrors."
  • D. The Shoe
    The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
  • E. Mycoskie
    Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179919c881908d55ea24f93c5827 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77ea9f481909d252120346498ab completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d83fe9a08190b18b9f61ee606372 completed May 13, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a03d915215c819090023094f1fc47f1 completed May 13, 2026, 1:51 a.m.
Created at: April 10, 2026, 10:45 a.m.