Triple

T15214681
Position Surface form Disambiguated ID Type / Status
Subject Colegrove v. Green E363606 entity
Predicate hasRespondent P2434 FINISHED
Object Green E141909 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: Green | Statement: [Colegrove v. Green, hasRespondent, Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green
Context triple: [Colegrove v. Green, hasRespondent, Green]
  • A. Green chosen
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Green
    Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
  • C. Green
    Green is a song featured on the album "Picture Perfect Morning."
  • D. Green
    Green is R.E.M.'s 1988 major-label debut album that marked a shift toward a more polished, politically tinged alternative rock sound and brought the band wider mainstream recognition.
  • E. Greeny
    Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.