Triple

T1193375
Position Surface form Disambiguated ID Type / Status
Subject Mark Ciardi E25611 entity
Predicate hasWorkedOn P922 FINISHED
Object Safety E137191 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: Safety | Statement: [Mark Ciardi, hasWorkedOn, Safety]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safety
Context triple: [Mark Ciardi, hasWorkedOn, Safety]
  • A. Safety chosen
    Safety is a sports drama film produced by Mark Ciardi that tells the inspirational true story of Clemson University football player Ray McElrathbey overcoming personal and family challenges.
  • B. Security Area
    The Security Area is the segment of the IETF responsible for developing and overseeing standards and protocols related to Internet and network security.
  • C. Securitate
    Securitate was the notorious secret police and intelligence service of communist Romania, known for its extensive surveillance, repression, and control over the population.
  • D. Safety Measurement System
    The Safety Measurement System is a data-driven program used by the Federal Motor Carrier Safety Administration to monitor and evaluate the safety performance of commercial motor carriers.
  • E. Office of Safety
    The Office of Safety is a division within the Federal Highway Administration responsible for developing and promoting policies, programs, and technologies to improve roadway safety and reduce traffic-related fatalities and injuries in the United States.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7743548190a70d3f3c7378aaa7 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f36371c8190a656463a9ae6402a completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.