Triple

T6185320
Position Surface form Disambiguated ID Type / Status
Subject Velvet Brown E138040 entity
Predicate hasPet P8711 FINISHED
Object The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
 E572361 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: The Pie | Statement: [Velvet Brown, hasPet, The Pie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Pie
Context triple: [Velvet Brown, hasPet, The Pie]
  • A. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • B. PIE
    PIE is the three-letter FAA airport code for St. Pete–Clearwater International Airport serving the Tampa Bay area in Florida.
  • C. Pie-IX
    Pie-IX is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving as a key transit access point to the Olympic Stadium and surrounding attractions.
  • D. The Doughnut
    The Doughnut is the distinctive circular headquarters building of the UK's Government Communications Headquarters (GCHQ) intelligence and security organization in Cheltenham.
  • E. Pie in the Sky
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • 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: The Pie
Triple: [Velvet Brown, hasPet, The Pie]
Generated description
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Pie
Target entity description: The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • A. PIE
    PIE is the three-letter FAA airport code for St. Pete–Clearwater International Airport serving the Tampa Bay area in Florida.
  • B. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • C. Pie-IX
    Pie-IX is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving as a key transit access point to the Olympic Stadium and surrounding attractions.
  • D. The Doughnut
    The Doughnut is the distinctive circular headquarters building of the UK's Government Communications Headquarters (GCHQ) intelligence and security organization in Cheltenham.
  • E. Pie in the Sky
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ca916c8190bd1ca46f2b8c9c18 completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1453b3db48190947260bd4431e8d7 completed March 23, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_69c145c93c1c819096feefc952ba1301 completed March 23, 2026, 1:53 p.m.
Created at: March 22, 2026, 4:19 p.m.