Triple

T44585
Position Surface form Disambiguated ID Type / Status
Subject Neal Lane E875 entity
Predicate familyName P18 FINISHED
Object Lane
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
 E7099 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: Lane | Statement: [Neal Lane, familyName, Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lane
Context triple: [Neal Lane, familyName, Lane]
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Riverway
    Riverway is a linear park and waterway in Boston that forms part of the Emerald Necklace, offering scenic green space and recreational paths near the Longwood Medical Area.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Badwater Road
    Badwater Road is a scenic highway in Death Valley National Park that provides access to the famously low-lying Badwater Basin and other desert landmarks.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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: Lane
Triple: [Neal Lane, familyName, Lane]
Generated description
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lane
Target entity description: Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Riverway
    Riverway is a linear park and waterway in Boston that forms part of the Emerald Necklace, offering scenic green space and recreational paths near the Longwood Medical Area.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Badwater Road
    Badwater Road is a scenic highway in Death Valley National Park that provides access to the famously low-lying Badwater Basin and other desert landmarks.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae36824819080e8336a3c9f9bf8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab4a9008190ba5c0f3389e348c0 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ce7c718819096a51f15d7c6acee completed Feb. 28, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69a25daa5c188190b95c031dd646b704 completed Feb. 28, 2026, 3:14 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.