Triple

T13369824
Position Surface form Disambiguated ID Type / Status
Subject City of Ember E319031 entity
Predicate mainCharacter P1183 FINISHED
Object Doon Harrow
Doon Harrow is a determined and resourceful boy in the novel "The City of Ember" who works to uncover the truth about his failing underground city and help save its inhabitants.
E1036432 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: Doon Harrow | Statement: [City of Ember, mainCharacter, Doon Harrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doon Harrow
Context triple: [City of Ember, mainCharacter, Doon Harrow]
  • A. Hawkhead
    Hawkhead is a railway station in Paisley, Scotland, serving the surrounding residential areas on the southwestern outskirts of Glasgow.
  • B. Harrowgate
    Harrowgate is a neighborhood in North Philadelphia, Pennsylvania, known for its historic roots as an early industrial and residential area.
  • C. Hallerowo
    Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
  • D. Elfstone
    Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
  • E. Wraxall
    Wraxall is a village in North Somerset, England, known for its rural character and proximity to the town of Nailsea.
  • 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: Doon Harrow
Triple: [City of Ember, mainCharacter, Doon Harrow]
Generated description
Doon Harrow is a determined and resourceful boy in the novel "The City of Ember" who works to uncover the truth about his failing underground city and help save its inhabitants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doon Harrow
Target entity description: Doon Harrow is a determined and resourceful boy in the novel "The City of Ember" who works to uncover the truth about his failing underground city and help save its inhabitants.
  • A. Hawkhead
    Hawkhead is a railway station in Paisley, Scotland, serving the surrounding residential areas on the southwestern outskirts of Glasgow.
  • B. Harrowgate
    Harrowgate is a neighborhood in North Philadelphia, Pennsylvania, known for its historic roots as an early industrial and residential area.
  • C. Hallerowo
    Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
  • D. Elfstone
    Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
  • E. Wraxall
    Wraxall is a village in North Somerset, England, known for its rural character and proximity to the town of Nailsea.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f72751f1b48190a8a79f10bf52b73d completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f727fbfde88190865aea5d6b4cb29d completed May 3, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:33 p.m.