Triple

T4715566
Position Surface form Disambiguated ID Type / Status
Subject Geoff Bell E104629 entity
Predicate appearedIn P795 FINISHED
Object Green Street E261207 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 Street | Statement: [Geoff Bell, appearedIn, Green Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Street
Context triple: [Geoff Bell, appearedIn, Green Street]
  • A. Green Street
    Green Street is a notable thoroughfare running through San Francisco’s Russian Hill neighborhood, known for its steep grades and classic city views.
  • B. Green Street chosen
    Green Street is a 2005 British-American drama film about football hooliganism, starring Elijah Wood as an American who becomes involved with a violent West Ham United firm.
  • C. Greenstreet
    Greenstreet is a surname most famously associated with Sydney Greenstreet, the British character actor known for his roles in classic films like "The Maltese Falcon" and "Casablanca."
  • D. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • E. Tasker Street
    Tasker Street is a roadway in South Philadelphia that serves as one of the streets accessible from the Tasker–Morris subway station.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6408dc5c8190a8d6b1c1a3eba2df completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d7f0bc88190b2e5a2d6cfd16892 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:18 p.m.