Triple

T4293700
Position Surface form Disambiguated ID Type / Status
Subject A3C E99656 entity
Predicate inspiredAlgorithms P42754 FINISHED
Object ACKTR E98477 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: ACKTR | Statement: [A3C, inspiredAlgorithms, ACKTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACKTR
Context triple: [A3C, inspiredAlgorithms, ACKTR]
  • A. ACKTR chosen
    ACKTR (Actor-Critic using Kronecker-Factored Trust Region) is a reinforcement learning algorithm that combines actor-critic methods with efficient second-order optimization via Kronecker-factored approximations to improve training stability and sample efficiency.
  • B. ACK
    ACK is the three-letter IATA airport code for Nantucket Memorial Airport, which serves Nantucket Island in Massachusetts, USA.
  • C. Backtrack
    Backtrack is a 2015 Australian psychological thriller film starring Adrien Brody as a troubled psychologist uncovering a dark mystery tied to his past.
  • D. ack
    ack is a command-line search tool for programmers that improves on grep with language-aware searching, sensible defaults, and features tailored for codebases.
  • E. Crakers
    The Crakers are a group of genetically engineered post-human beings in Margaret Atwood’s MaddAddam trilogy, designed to be peaceful, environmentally harmonious replacements for humanity.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35082228081908504e3fd7c4ca1e8 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c73d47448190a844bc13eae84a54 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.