Triple

T3008673
Position Surface form Disambiguated ID Type / Status
Subject Grace Hopper E81962 entity
Predicate familyName P18 FINISHED
Object Hopper E183417 NE FINISHED

How this triple was built (2 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: Hopper | Statement: [Grace Hopper, familyName, Hopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hopper
Context triple: [Grace Hopper, familyName, Hopper]
  • A. Hopper chosen
    Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
  • B. Hopper
    Hopper is the ruthless grasshopper leader and main villain in Pixar's animated film "A Bug's Life," known for terrorizing an ant colony to maintain his power.
  • C. Hopper Penn
    Hopper Penn is an American actor and model, best known as the son of actors Sean Penn and Robin Wright and for his roles in independent films.
  • D. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • E. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ba6988190be29c00cd4266941 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5f612c8190824deb0813a9f981 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.