Triple

T5853203
Position Surface form Disambiguated ID Type / Status
Subject Henry J. Friendly E130086 entity
Predicate familyName P18 FINISHED
Object Friendly
Friendly is the surname of Henry J. Friendly, a highly influential American judge and legal scholar known for his service on the U.S. Court of Appeals for the Second Circuit.
 E550209 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: Friendly | Statement: [Henry J. Friendly, familyName, Friendly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friendly
Context triple: [Henry J. Friendly, familyName, Friendly]
  • A. FRIENDLY
    FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
  • B. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • C. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • D. Friendly Persuasion
    Friendly Persuasion is a 1956 American drama film about a pacifist Quaker family during the American Civil War, based on Jessamyn West’s novel of the same name.
  • E. Please
    "Please" is the 1986 synth-pop debut album by English duo Pet Shop Boys, featuring hits like "West End Girls" and "Opportunities (Let's Make Lots of Money)."
  • 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: Friendly
Triple: [Henry J. Friendly, familyName, Friendly]
Generated description
Friendly is the surname of Henry J. Friendly, a highly influential American judge and legal scholar known for his service on the U.S. Court of Appeals for the Second Circuit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Friendly
Target entity description: Friendly is the surname of Henry J. Friendly, a highly influential American judge and legal scholar known for his service on the U.S. Court of Appeals for the Second Circuit.
  • A. FRIENDLY
    FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
  • B. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • C. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • D. Friendly Persuasion
    Friendly Persuasion is a 1956 American drama film about a pacifist Quaker family during the American Civil War, based on Jessamyn West’s novel of the same name.
  • E. Please
    "Please" is the 1986 synth-pop debut album by English duo Pet Shop Boys, featuring hits like "West End Girls" and "Opportunities (Let's Make Lots of Money)."
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a30d66088190b6e37a95527b273d completed March 23, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69c0a364931c81908d595d74cb4f9a7b completed March 23, 2026, 2:20 a.m.
Created at: March 22, 2026, 3:55 p.m.