Triple

T3693986
Position Surface form Disambiguated ID Type / Status
Subject Max Hodak E78409 entity
Predicate hasEmployer P7 FINISHED
Object Science Corp E379660 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: Science Corp | Statement: [Max Hodak, hasEmployer, Science Corp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Science Corp
Context triple: [Max Hodak, hasEmployer, Science Corp]
  • A. Science Corp chosen
    Science Corp is a biotechnology company focused on developing advanced neurotechnology and brain–computer interface solutions.
  • B. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • C. DEKA Research & Development Corporation
    DEKA Research & Development Corporation is an engineering and technology company known for developing innovative medical devices and advanced technologies under the leadership of inventor Dean Kamen.
  • D. Aerospace Corporation
    Aerospace Corporation is a U.S.-based nonprofit research and development center that provides technical expertise and systems engineering support to national security and civil space programs.
  • E. Cybus Industries
    Cybus Industries is a powerful fictional technology conglomerate in the Doctor Who universe, best known for creating an alternate-universe version of the Cybermen.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeee0488190b59e24f8ad48ad5e completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.