Triple

T21756187
Position Surface form Disambiguated ID Type / Status
Subject Zackery Tyndall E537045 entity
Predicate familyName P18 FINISHED
Object Tyndall
Tyndall is a surname of English and Irish origin borne by various notable individuals across fields such as science, politics, and sports.
 E368922 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: Tyndall | Statement: [Zackery Tyndall, familyName, Tyndall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyndall
Context triple: [Zackery Tyndall, familyName, Tyndall]
  • A. Tyndal
    Tyndal is an English surname historically associated with families of British origin.
  • B. Beardmore
    Beardmore is a small rural community in northern Ontario, Canada, known as a service and gateway point for outdoor recreation in the surrounding lakes and forests.
  • C. Eddington
    Eddington is a surname most famously associated with Arthur Stanley Eddington, the influential English astrophysicist who helped confirm Einstein’s theory of general relativity.
  • D. Eddington
    Eddington is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • E. Eddington
    Eddington was a successful Thoroughbred racehorse and sire known for producing quality offspring on the racetrack.
  • 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: Tyndall
Triple: [Zackery Tyndall, familyName, Tyndall]
Generated description
Tyndall is a surname of English and Irish origin borne by various notable individuals across fields such as science, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyndall
Target entity description: Tyndall is a surname of English and Irish origin borne by various notable individuals across fields such as science, politics, and sports.
  • A. Tyndal chosen
    Tyndal is an English surname historically associated with families of British origin.
  • B. Beardmore
    Beardmore is a small rural community in northern Ontario, Canada, known as a service and gateway point for outdoor recreation in the surrounding lakes and forests.
  • C. Eddington
    Eddington is a surname most famously associated with Arthur Stanley Eddington, the influential English astrophysicist who helped confirm Einstein’s theory of general relativity.
  • D. Eddington
    Eddington is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • E. Eddington
    Eddington was a successful Thoroughbred racehorse and sire known for producing quality offspring on the racetrack.
  • F. None of above.

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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8ea04c8190a8c4fa43b3f23935 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a367268908190a0fd9c8531ea60f1 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a37b4a00c8190935e7f7fb4c456ca completed May 17, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3849dc0881909e5b7c5dd76c56bf completed May 17, 2026, 9:51 p.m.
Created at: April 16, 2026, 6:50 p.m.