Triple

T14235201
Position Surface form Disambiguated ID Type / Status
Subject Race to Witch Mountain E352858 entity
Predicate character P662 FINISHED
Object Sara
Sara is a young extraterrestrial girl with psychic powers who plays a central role in the science fiction adventure film "Race to Witch Mountain."
E1088828 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: Sara | Statement: [Race to Witch Mountain, character, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara
Context triple: [Race to Witch Mountain, character, Sara]
  • A. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • B. Sara
    "Sara" is a soft rock song by Fleetwood Mac, written and sung by Stevie Nicks, known for its dreamy lyrics and prominent place on their 1979 album *Tusk*.
  • C. Sara
    Sara is the imaginative and resilient young heroine of Frances Hodgson Burnett’s classic children’s novel "A Little Princess."
  • D. Sara
    Sara is the central protagonist of the film "Runaway Train," around whom the story’s dramatic events and emotional stakes revolve.
  • E. Sara
    Sara is the central female protagonist of the Italian film "L’uomo che ama," around whom the story’s emotional and relational conflicts revolve.
  • 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: Sara
Triple: [Race to Witch Mountain, character, Sara]
Generated description
Sara is a young extraterrestrial girl with psychic powers who plays a central role in the science fiction adventure film "Race to Witch Mountain."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara
Target entity description: Sara is a young extraterrestrial girl with psychic powers who plays a central role in the science fiction adventure film "Race to Witch Mountain."
  • A. Sara
    Sara is the central protagonist of the film "Runaway Train," around whom the story’s dramatic events and emotional stakes revolve.
  • B. Sara
    Sara is a skilled warrior and love interest of the Huntsman in the fantasy film "The Huntsman: Winter’s War."
  • C. Sara
    Sara is the central female protagonist of the Italian film "L’uomo che ama," around whom the story’s emotional and relational conflicts revolve.
  • D. Sara
    Sara is the imaginative and resilient young heroine of Frances Hodgson Burnett’s classic children’s novel "A Little Princess."
  • E. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3251ec5881909fcebc9477d6a761 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3408af2481909ff159694ed2d767 completed May 8, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd3460d8e88190884e7d532645b79c completed May 8, 2026, 12:54 a.m.
Created at: April 10, 2026, 1:07 a.m.