Triple

T9632249
Position Surface form Disambiguated ID Type / Status
Subject Flora Lamson Hewlett E232835 entity
Predicate familyName P18 FINISHED
Object Hewlett
Hewlett is a surname most prominently associated with the American Hewlett family, including Flora Lamson Hewlett and her husband William R. Hewlett, co-founder of Hewlett-Packard.
E7429 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: Hewlett | Statement: [Flora Lamson Hewlett, familyName, Hewlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hewlett
Context triple: [Flora Lamson Hewlett, familyName, Hewlett]
  • A. Hewletts
    Hewletts was the original name of what is now known as Hewlett station, a railway stop likely serving the Hewlett area.
  • B. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • C. Rockwell
    Rockwell is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Square neighborhood of Chicago.
  • D. Rockwell
    Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
  • E. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • 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: Hewlett
Triple: [Flora Lamson Hewlett, familyName, Hewlett]
Generated description
Hewlett is a surname most prominently associated with the American Hewlett family, including Flora Lamson Hewlett and her husband William R. Hewlett, co-founder of Hewlett-Packard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hewlett
Target entity description: Hewlett is a surname most prominently associated with the American Hewlett family, including Flora Lamson Hewlett and her husband William R. Hewlett, co-founder of Hewlett-Packard.
  • A. Hewletts
    Hewletts was the original name of what is now known as Hewlett station, a railway stop likely serving the Hewlett area.
  • B. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • C. Rockwell
    Rockwell is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Square neighborhood of Chicago.
  • D. Rockwell
    Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
  • E. Hewlett-Packard chosen
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • F. None of above.

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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:11 p.m.