Triple

T838823
Position Surface form Disambiguated ID Type / Status
Subject Thomas Tull E18130 entity
Predicate familyName P18 FINISHED
Object Tull
Tull is a surname most prominently associated with American film producer and entrepreneur Thomas Tull.
 E100551 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: Tull | Statement: [Thomas Tull, familyName, Tull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tull
Context triple: [Thomas Tull, familyName, Tull]
  • A. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • B. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • C. Ulladulla
    Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
  • D. Swenett
    Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
  • E. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • 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: Tull
Triple: [Thomas Tull, familyName, Tull]
Generated description
Tull is a surname most prominently associated with American film producer and entrepreneur Thomas Tull.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tull
Target entity description: Tull is a surname most prominently associated with American film producer and entrepreneur Thomas Tull.
  • A. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • B. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • C. Ulladulla
    Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
  • D. Swenett
    Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
  • E. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe4ab1081909207ae2eec1898d9 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929860f081909c86f84d7cfe6acb completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a796370f388190b23cd19cc3fa5a3b completed March 4, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69a796bee5388190ab0abf0bfa08ad97 completed March 4, 2026, 2:19 a.m.
Created at: March 1, 2026, 7:38 p.m.