Triple

T5478644
Position Surface form Disambiguated ID Type / Status
Subject President of Yale University E123416 entity
Predicate hasHolder P1911 FINISHED
Object Elisha Williams
Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
E522199 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: Elisha Williams | Statement: [President of Yale University, hasHolder, Elisha Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisha Williams
Context triple: [President of Yale University, hasHolder, Elisha Williams]
  • A. Isaac Easty
    Isaac Easty was a 17th-century New England colonist known primarily as the husband of Mary Easty, one of the women executed during the Salem witch trials.
  • B. Ephraim Williams
    Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
  • C. Samuel Sharp
    Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
  • D. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • E. Moses Taylor
    Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
  • 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: Elisha Williams
Triple: [President of Yale University, hasHolder, Elisha Williams]
Generated description
Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elisha Williams
Target entity description: Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
  • A. Isaac Easty
    Isaac Easty was a 17th-century New England colonist known primarily as the husband of Mary Easty, one of the women executed during the Salem witch trials.
  • B. Ephraim Williams
    Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
  • C. Samuel Sharp
    Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
  • D. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • E. Moses Taylor
    Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9247a16c8190ac5a02534da48853 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a001c081909b0e9f1b36fd10db completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf496861f08190aca539510ddfebbc completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf49c564188190b4b3a40ee09b0461 completed March 22, 2026, 1:45 a.m.
Created at: March 20, 2026, 2:09 p.m.