Triple

T5958945
Position Surface form Disambiguated ID Type / Status
Subject Akiva Goldsman E132585 entity
Predicate notableWork P4 FINISHED
Object I Am Legend E125784 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: I Am Legend | Statement: [Akiva Goldsman, notableWork, I Am Legend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Am Legend
Context triple: [Akiva Goldsman, notableWork, I Am Legend]
  • A. I Am Legend chosen
    I Am Legend is a 2007 post-apocalyptic science fiction horror film starring Will Smith as one of the last survivors of a plague that turns humans into nocturnal mutants.
  • B. I Am Legend 2
    I Am Legend 2 is the planned sequel to the 2007 post-apocalyptic sci-fi film "I Am Legend," expected to continue the story of a world ravaged by a man-made virus.
  • C. 28 Days Later
    28 Days Later is a 2002 British post-apocalyptic horror film directed by Danny Boyle that revitalized the zombie genre with its fast-infected concept and gritty, low-budget digital aesthetic.
  • D. 28 Weeks Later
    28 Weeks Later is a 2007 British post-apocalyptic horror film that continues the story of a devastating rage virus outbreak in the United Kingdom, focusing on the fraught attempts to repopulate and secure London.
  • E. Outbreak
    Outbreak is a 1995 medical disaster thriller film about a deadly, fast-spreading virus and the efforts of scientists and the military to contain it.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c48d0c81908e794c52fddf2ca2 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e3736c8190b445156f0c1bdf1f completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.