Triple

T3149548
Position Surface form Disambiguated ID Type / Status
Subject HarperCollins E65842 entity
Predicate hasImprint P2763 FINISHED
Object Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
 E331280 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: Ecco | Statement: [HarperCollins, hasImprint, Ecco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ecco
Context triple: [HarperCollins, hasImprint, Ecco]
  • A. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • D. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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: Ecco
Triple: [HarperCollins, hasImprint, Ecco]
Generated description
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ecco
Target entity description: Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
  • A. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • D. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.