Triple

T10140725
Position Surface form Disambiguated ID Type / Status
Subject The Plaza Hotel E231575 entity
Predicate wasDevelopedBy P73 FINISHED
Object Fred Sterry
Fred Sterry was an American hotelier best known for his prominent role in the early management and development of New York City's iconic Plaza Hotel.
E844941 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: Fred Sterry | Statement: [The Plaza Hotel, wasDevelopedBy, Fred Sterry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Sterry
Context triple: [The Plaza Hotel, wasDevelopedBy, Fred Sterry]
  • A. Steven Pemberton
    Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
  • B. Nigel Starr
    Nigel Starr is a music producer known for his work on the hip-hop track "Ego Trippin'."
  • C. Bob Packham
    Bob Packham is a musician best known as a member of the British Merseybeat band The Merseybeats, active during the 1960s Liverpool music scene.
  • D. Stephen Slade
    Stephen Slade is a character in the 1975 British psychological thriller film "Deadly Strangers."
  • E. Don Peake
    Don Peake is an American composer and session guitarist best known for his film and television scores, including work on horror and genre movies as well as the series "Knight Rider."
  • 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: Fred Sterry
Triple: [The Plaza Hotel, wasDevelopedBy, Fred Sterry]
Generated description
Fred Sterry was an American hotelier best known for his prominent role in the early management and development of New York City's iconic Plaza Hotel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fred Sterry
Target entity description: Fred Sterry was an American hotelier best known for his prominent role in the early management and development of New York City's iconic Plaza Hotel.
  • A. Steven Pemberton
    Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
  • B. Nigel Starr
    Nigel Starr is a music producer known for his work on the hip-hop track "Ego Trippin'."
  • C. Bob Packham
    Bob Packham is a musician best known as a member of the British Merseybeat band The Merseybeats, active during the 1960s Liverpool music scene.
  • D. Stephen Slade
    Stephen Slade is a character in the 1975 British psychological thriller film "Deadly Strangers."
  • E. Don Peake
    Don Peake is an American composer and session guitarist best known for his film and television scores, including work on horror and genre movies as well as the series "Knight Rider."
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3008e56a481908d64077851063dbf completed April 6, 2026, 12:38 a.m.
NEDg Description generation batch_69d302537a548190b211727dd124cba6 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d3033245448190bcc802b7dbd274fc completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:07 p.m.