Triple

T21638181
Position Surface form Disambiguated ID Type / Status
Subject Thomas and the Magic Railroad E534014 entity
Predicate hasTrainCharacter P108254 FINISHED
Object Lady
Lady is a magical, golden steam engine from the film "Thomas and the Magic Railroad," central to the story as the source of the Magic Railroad’s power.
 E1493793 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: Lady | Statement: [Thomas and the Magic Railroad, hasTrainCharacter, Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lady
Context triple: [Thomas and the Magic Railroad, hasTrainCharacter, Lady]
  • A. Lady
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • B. Lady
    Lady is a traditional British honorific title used for women of certain ranks within the nobility and aristocracy.
  • C. Lady
    Lady is the refined cocker spaniel protagonist from Disney’s animated film "Lady and the Tramp."
  • D. Lady
    "Lady" is a 1973 rock ballad by the American band Styx that became one of their first major hits and helped launch their mainstream success.
  • E. Lady
    "Lady" is a soft rock ballad by the Australian group Little River Band, recognized as one of their popular hits from the late 1970s.
  • 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: Lady
Triple: [Thomas and the Magic Railroad, hasTrainCharacter, Lady]
Generated description
Lady is a magical, golden steam engine from the film "Thomas and the Magic Railroad," central to the story as the source of the Magic Railroad’s power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lady
Target entity description: Lady is a magical, golden steam engine from the film "Thomas and the Magic Railroad," central to the story as the source of the Magic Railroad’s power.
  • A. Lady
    Lady is the refined cocker spaniel protagonist from Disney’s animated film "Lady and the Tramp."
  • B. Lady
    Lady is a traditional British honorific title used for women of certain ranks within the nobility and aristocracy.
  • C. Lady
    "Lady" is a 1974 psychological horror novel by Tom Tryon that explores themes of identity, memory, and small-town secrets through the life of its enigmatic female protagonist.
  • D. Lady
    "Lady" is a soft rock ballad by the Australian group Little River Band, recognized as one of their popular hits from the late 1970s.
  • E. Lady
    "Lady" is a rock song by the power trio Beck, Bogert & Appice, showcasing their blues-influenced hard rock style and vocal harmonies.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538eef0481908f5bf0e27f8e054d completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f9de1fc8190bd44ba90877385c1 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a106d521481909aff885d50adbda1 completed May 17, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10e6cda481908c263911f681c337 completed May 17, 2026, 7:03 p.m.
Created at: April 16, 2026, 6:35 p.m.