Triple

T4487946
Position Surface form Disambiguated ID Type / Status
Subject Phil Woolpert E107293 entity
Predicate familyName P18 FINISHED
Object Woolpert
Woolpert is a global architecture, engineering, geospatial, and strategic consulting firm known for its work in infrastructure, transportation, and environmental projects.
 E446569 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: Woolpert | Statement: [Phil Woolpert, familyName, Woolpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woolpert
Context triple: [Phil Woolpert, familyName, Woolpert]
  • A. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • B. Tascott
    Tascott is a coastal suburb on the Central Coast of New South Wales, Australia, situated along the shores of Brisbane Water.
  • C. Wylie
    Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • D. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • E. Wiatt
    Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
  • 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: Woolpert
Triple: [Phil Woolpert, familyName, Woolpert]
Generated description
Woolpert is a global architecture, engineering, geospatial, and strategic consulting firm known for its work in infrastructure, transportation, and environmental projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woolpert
Target entity description: Woolpert is a global architecture, engineering, geospatial, and strategic consulting firm known for its work in infrastructure, transportation, and environmental projects.
  • A. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • B. Tascott
    Tascott is a coastal suburb on the Central Coast of New South Wales, Australia, situated along the shores of Brisbane Water.
  • C. Wylie
    Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • D. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • E. Wiatt
    Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52abddf88190b4fb09884ed62500 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a31d0c819089954c8af4b1bdd6 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd69faac508190863892c9bbdb20b3 completed March 20, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bd6a64c64881909acf1171be426fe4 completed March 20, 2026, 3:40 p.m.
Created at: March 20, 2026, 12:59 p.m.