Triple

T15356910
Position Surface form Disambiguated ID Type / Status
Subject Outsiders E367187 entity
Predicate hasMember P10 FINISHED
Object Freight Train E940498 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: Freight Train | Statement: [Outsiders, hasMember, Freight Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freight Train
Context triple: [Outsiders, hasMember, Freight Train]
  • A. Freight Train
    Freight Train is a country music album by American singer-songwriter Alan Jackson, known for its traditional sound and storytelling style.
  • B. Freight Train chosen
    "Freight Train" is a classic American folk song, written in the early 20th century and later popularized in the 1950s and 1960s, known for its gentle melody and poignant lyrics about travel and mortality.
  • C. Steam Train
    Steam Train is a YouTube gaming series and spin-off of Game Grumps in which Ross O’Donovan and co-hosts play and comment on video games.
  • D. The Railroad
    The Railroad is a 19th-century American folk song, also known as "The Railway," that reflects the expansion of rail transport and its impact on society.
  • E. LeTrainTrain
    LeTrainTrain is a television production company known for producing high-profile scripted series such as the crime drama "Tokyo Vice."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff020244e881909c1d1c295dc82e49 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.