Triple

T12197072
Position Surface form Disambiguated ID Type / Status
Subject Robert Webb E290614 entity
Predicate appearedIn P795 FINISHED
Object Back E499410 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: Back | Statement: [Robert Webb, appearedIn, Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back
Context triple: [Robert Webb, appearedIn, Back]
  • A. Back chosen
    Back is a small coastal village on the Isle of Lewis in Scotland’s Outer Hebrides, known for its sandy beaches and Gaelic-speaking community.
  • B. BackType
    BackType was a social media analytics startup best known for creating the real-time distributed stream processing system that became Apache Storm.
  • C. Top Back
    "Top Back" is a 2006 Southern hip hop track by rapper T.I., known for its heavy bass, car-centric themes, and prominence on his album "King."
  • D. Back to Before
    "Back to Before" is a reflective ballad from the musical *Ragtime* in which the character Mother contemplates the irreversible social and personal changes transforming her life.
  • E. Drive Back
    Drive Back is a song featured on the soundtrack of the 2006 racing video game "Zuma."
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c56b4d88190b6a32baff3375dc4 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5289608190bded58513316b1e5 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.