Triple

T9794510
Position Surface form Disambiguated ID Type / Status
Subject Time Enough at Last E237685 entity
Predicate protagonist P268 FINISHED
Object Henry Bemis E832515 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: Henry Bemis | Statement: [Time Enough at Last, protagonist, Henry Bemis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Bemis
Context triple: [Time Enough at Last, protagonist, Henry Bemis]
  • A. Henry Bemis chosen
    Henry Bemis is the nearsighted, book-loving bank clerk from the classic Twilight Zone episode "Time Enough at Last," known for surviving a nuclear attack only to face a cruel twist of fate involving his beloved reading.
  • B. William De Witt
    William De Witt is a personal name borne by various individuals, most commonly associated with people of Dutch or American heritage.
  • C. Alec Hanley Bemis
    Alec Hanley Bemis is an American music industry executive and writer best known as a co-founder and driving force behind the independent label Brassland Records.
  • D. Elias B. Fish
    Elias B. Fish was a United States government official who served as a federal customs administrator in New York City.
  • E. Simeon De Witt
    Simeon De Witt was an American surveyor and cartographer who served as Surveyor General of New York for over fifty years, playing a key role in mapping and planning the state after the Revolutionary War.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d257601eec8190b7fa205cee61bb23 completed April 5, 2026, 12:36 p.m.
Created at: March 30, 2026, 8:28 p.m.