Triple

T12321099
Position Surface form Disambiguated ID Type / Status
Subject Keri Hilson E293729 entity
Predicate recordLabel P1500 FINISHED
Object Zone 4
Zone 4 is an American record label known for developing and promoting R&B and hip-hop artists, including singer-songwriter Keri Hilson.
 E987647 NE FINISHED

How this triple was built (4 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: Zone 4 | Statement: [Keri Hilson, recordLabel, Zone 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zone 4
Context triple: [Keri Hilson, recordLabel, Zone 4]
  • A. Zone 4
    Zone 4 is a suburban travel zone in London’s public transport fare system, covering outer residential areas served by the Underground, Overground, and National Rail services.
  • B. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • C. Zone 3
    Zone 3 is one of the MBTA Commuter Rail’s outer fare zones used to set ticket prices for trips between Boston and its surrounding suburbs.
  • D. Zone 3
    Zone 3 is one of the concentric public transport fare zones in the Île-de-France region surrounding central Paris.
  • E. Zone 3
    Zone 3 is a mid-distance public transport fare zone in London covering various suburban residential and commercial areas outside the city center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zone 4
Triple: [Keri Hilson, recordLabel, Zone 4]
Generated description
Zone 4 is an American record label known for developing and promoting R&B and hip-hop artists, including singer-songwriter Keri Hilson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zone 4
Target entity description: Zone 4 is an American record label known for developing and promoting R&B and hip-hop artists, including singer-songwriter Keri Hilson.
  • A. Zone 4
    Zone 4 is a suburban travel zone in London’s public transport fare system, covering outer residential areas served by the Underground, Overground, and National Rail services.
  • B. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • C. Zone 3
    Zone 3 is one of the MBTA Commuter Rail’s outer fare zones used to set ticket prices for trips between Boston and its surrounding suburbs.
  • D. Zone 3
    Zone 3 is one of the concentric public transport fare zones in the Île-de-France region surrounding central Paris.
  • E. Zone 3
    Zone 3 is a mid-distance public transport fare zone in London covering various suburban residential and commercial areas outside the city center.
  • F. None of above. chosen

Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4c2b548190938fff9427f07dc7 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8ed1dc81908a0066d7cbfda086 completed May 2, 2026, 7:07 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:53 p.m.