Triple

T20478620
Position Surface form Disambiguated ID Type / Status
Subject Loren Dean E502391 entity
Predicate notableWork P4 FINISHED
Object Alias 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: Alias | Statement: [Loren Dean, notableWork, Alias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alias
Context triple: [Loren Dean, notableWork, Alias]
  • A. Alias chosen
    Alias is an American action-thriller television series created by J.J. Abrams that follows double agent Sydney Bristow as she navigates a complex world of espionage and covert operations.
  • B. Able One
    Able One is a Thoroughbred racehorse best known as a top-class miler who became a multiple Group 1 winner in Hong Kong.
  • C. Split
    Split is a 2016 psychological horror-thriller film directed by M. Night Shyamalan, in which James McAvoy plays a man with dissociative identity disorder who kidnaps three girls.
  • D. Split
    Split is a historic coastal city in Croatia known for its ancient Roman architecture, including Diocletian's Palace, and its role as a major Adriatic port and cultural center.
  • E. Eagle Eye
    Eagle Eye is a 2008 techno-thriller film about two strangers coerced by a mysterious intelligence into carrying out a series of dangerous tasks under constant surveillance.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.