Triple

T234889
Position Surface form Disambiguated ID Type / Status
Subject Henry Armstrong E4486 entity
Predicate foughtNotableOpponent P893 FINISHED
Object Lou Ambers
Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
E35409 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: Lou Ambers | Statement: [Henry Armstrong, foughtNotableOpponent, Lou Ambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Ambers
Context triple: [Henry Armstrong, foughtNotableOpponent, Lou Ambers]
  • A. C. E. Webber
    C. E. Webber was a British television writer and script editor credited with helping develop the original concept and format of the long-running science fiction series Doctor Who.
  • B. Ernest Merritt
    Ernest Merritt was an American physicist and academic who co-founded the influential scientific journal Physical Review and helped shape early 20th-century physics research in the United States.
  • C. Charles Begole
    Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
  • D. Charles Foster
    Charles Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
  • E. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • 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: Lou Ambers
Triple: [Henry Armstrong, foughtNotableOpponent, Lou Ambers]
Generated description
Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lou Ambers
Target entity description: Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
  • A. C. E. Webber
    C. E. Webber was a British television writer and script editor credited with helping develop the original concept and format of the long-running science fiction series Doctor Who.
  • B. Ernest Merritt
    Ernest Merritt was an American physicist and academic who co-founded the influential scientific journal Physical Review and helped shape early 20th-century physics research in the United States.
  • C. Charles Begole
    Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
  • D. Charles Foster
    Charles Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
  • E. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a260c42060819089eb772202e504f5 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f4e35688190b8c8714c7f06c6ee completed March 1, 2026, 12:58 a.m.
NEDg Description generation batch_69a390159ac08190892a67e906b33df3 completed March 1, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_69a3907070fc8190891fac451c8f7fad completed March 1, 2026, 1:03 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.