Triple

T9090849
Position Surface form Disambiguated ID Type / Status
Subject David Norris E217877 entity
Predicate basedOn P98 FINISHED
Object Adjustment Team E137481 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: Adjustment Team | Statement: [David Norris, basedOn, Adjustment Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adjustment Team
Context triple: [David Norris, basedOn, Adjustment Team]
  • A. Adjustment Team chosen
    "Adjustment Team" is a science fiction short story by Philip K. Dick about a man who accidentally discovers a secret organization that controls reality behind the scenes.
  • B. The Team
    The Team is the English translation of "Die Mannschaft," the widely used nickname for the German national football team.
  • C. Tune Squad
    Tune Squad is the fictional basketball team of Looney Tunes characters that competes alongside Michael Jordan in the 1996 film "Space Jam."
  • D. Red and Blue Crew
    Red and Blue Crew is the official student cheering section that supports the University of Pennsylvania’s athletic teams, especially at Penn Quakers football games.
  • E. Team Stephen
    Team Stephen was one of the two squads in the 2018 NBA All-Star Game, captained and drafted by Stephen Curry from a pool of selected All-Star players.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965b73848190af309cd7d2f14066 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.