Triple

T14765328
Position Surface form Disambiguated ID Type / Status
Subject Matthew Abaddon E346977 entity
Predicate recruits P4145 FINISHED
Object Naomi Dorrit E1119291 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: Naomi Dorrit | Statement: [Matthew Abaddon, recruits, Naomi Dorrit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naomi Dorrit
Context triple: [Matthew Abaddon, recruits, Naomi Dorrit]
  • A. Naomi Dorrit chosen
    Naomi Dorrit is a mysterious corporate recruiter and covert operative from the television series "Lost," known for her role in initiating contact between the freighter team and the island's survivors.
  • B. Amy Dorrit
    Amy Dorrit is the gentle, self-sacrificing heroine of Charles Dickens’s novel "Little Dorrit," known for her humility, resilience, and devotion to her imprisoned family.
  • C. Clara Copperfield
    Clara Copperfield is the gentle, naive, and tragically fated mother of the protagonist in Charles Dickens’s novel "David Copperfield."
  • D. Dora Markovitch
    Dora Markovitch, born Henriette Theodora Markovitch, was a French photographer, painter, and muse closely associated with Pablo Picasso and the Surrealist movement.
  • E. Jacoba
    Jacoba is a feminine given name of Dutch origin, historically borne by several notable women in the Netherlands and South Africa.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b1ff0c81908d5dffbaf86c3ca3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.