Triple

T10411311
Position Surface form Disambiguated ID Type / Status
Subject Skarloey Railway E245396 entity
Predicate hasLocomotive P12267 FINISHED
Object Duncan
Duncan is a narrow-gauge steam locomotive character from the Skarloey Railway in the Thomas & Friends universe, known for his grumpy and stubborn personality.
 E862046 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: Duncan | Statement: [Skarloey Railway, hasLocomotive, Duncan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duncan
Context triple: [Skarloey Railway, hasLocomotive, Duncan]
  • A. Duncan
    Duncan is a Scottish-origin surname borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • B. Duncan
    Duncan is a small city on southern Vancouver Island in British Columbia, Canada, known for its many totem poles and rich Indigenous heritage.
  • C. Duncan
    Duncan is a fictional character from the "Vamp" universe, known for his involvement in its supernatural, vampire-centered storyline.
  • D. Duncan
    Duncan is a character in the independent restaurant-centered crime drama film "Dinner Rush," involved in the tense, fast-paced world of a New York City eatery.
  • E. Duncan
    Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
  • 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: Duncan
Triple: [Skarloey Railway, hasLocomotive, Duncan]
Generated description
Duncan is a narrow-gauge steam locomotive character from the Skarloey Railway in the Thomas & Friends universe, known for his grumpy and stubborn personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duncan
Target entity description: Duncan is a narrow-gauge steam locomotive character from the Skarloey Railway in the Thomas & Friends universe, known for his grumpy and stubborn personality.
  • A. Duncan
    Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
  • B. Duncan
    Duncan is a small city on southern Vancouver Island in British Columbia, Canada, known for its many totem poles and rich Indigenous heritage.
  • C. Duncan
    Duncan is a Scottish-origin surname borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • D. Duncan
    Duncan is a fictional character from the "Vamp" universe, known for his involvement in its supernatural, vampire-centered storyline.
  • E. Duncan
    Duncan is a character in the independent restaurant-centered crime drama film "Dinner Rush," involved in the tense, fast-paced world of a New York City eatery.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9fc72d081908d81c71133973daf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbfae96c8190ac496e9a1158afe4 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d6a0188190a7ee6de5aab50486 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:09 p.m.