Triple

T18022312
Position Surface form Disambiguated ID Type / Status
Subject Annie Ross E431154 entity
Predicate appearedIn P795 FINISHED
Object Throw Momma from the Train 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: Throw Momma from the Train | Statement: [Annie Ross, appearedIn, Throw Momma from the Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Throw Momma from the Train
Context triple: [Annie Ross, appearedIn, Throw Momma from the Train]
  • A. Throw Momma from the Train chosen
    Throw Momma from the Train is a 1987 dark comedy film directed by and starring Danny DeVito, loosely inspired by Alfred Hitchcock’s "Strangers on a Train."
  • B. Mama Rides Shotgun
    Mama Rides Shotgun is a humorous Southern cozy mystery novel by Deborah Sharp featuring a quirky mother-daughter duo solving crimes in Florida.
  • C. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • D. Mama Gets Trashed
    "Mama Gets Trashed" is a humorous Southern cozy mystery novel in Deborah Sharp’s Mace Bauer series, featuring a Florida-based sleuth untangling crime amid quirky family antics.
  • E. My Momma
    "My Momma" is a song featured on the album *I Want It All*.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c3a2c48190bbe4a0581466cd2f completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.