Triple

T20348929
Position Surface form Disambiguated ID Type / Status
Subject The Chemistry of Tears E495953 entity
Predicate followedBy P78 FINISHED
Object Amnesia NE NERFINISHED

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: Amnesia | Statement: [The Chemistry of Tears, followedBy, Amnesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amnesia
Context triple: [The Chemistry of Tears, followedBy, Amnesia]
  • A. Amnesia chosen
    Amnesia is a novel by Australian author Peter Carey that intertwines political intrigue, cyber-activism, and historical reflection on Australian–American relations.
  • B. Amnesia
    "Amnesia" is a pop-rock ballad by Australian band 5 Seconds of Summer that became one of their most popular and emotionally resonant singles.
  • C. Amnesia
    Amnesia is a condition characterized by partial or complete loss of memory, often affecting the ability to recall past experiences or form new memories.
  • D. Amnesia
    "Amnesia" is a song by Keith Richards from his 2015 solo album *Crosseyed Heart*.
  • E. Ammnesia
    "Ammnesia" is a pioneering Chicago house track by Mr. Fingers (Larry Heard), celebrated for its deep, atmospheric sound that helped define the deep house genre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.