Triple

T1127990
Position Surface form Disambiguated ID Type / Status
Subject Herbert Morrison E24763 entity
Predicate familyName P18 FINISHED
Object Morrison
Morrison is a common English and Scottish surname borne by numerous notable figures in politics, sports, arts, and public life.
 E127552 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: Morrison | Statement: [Herbert Morrison, familyName, Morrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morrison
Context triple: [Herbert Morrison, familyName, Morrison]
  • A. Toni Morrison
    Toni Morrison was a renowned American novelist, essayist, and professor celebrated for her powerful explorations of Black American life and identity in works such as "Beloved" and "Song of Solomon."
  • B. Sula
    Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
  • C. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • 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: Morrison
Triple: [Herbert Morrison, familyName, Morrison]
Generated description
Morrison is a common English and Scottish surname borne by numerous notable figures in politics, sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morrison
Target entity description: Morrison is a common English and Scottish surname borne by numerous notable figures in politics, sports, arts, and public life.
  • A. Toni Morrison
    Toni Morrison was a renowned American novelist, essayist, and professor celebrated for her powerful explorations of Black American life and identity in works such as "Beloved" and "Song of Solomon."
  • B. Sula
    Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
  • C. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdd39b88190bf46de38818fe2df completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53a16a5881908e6c6f7fafe87107 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac53f04ad081908f1536f17e65f633 completed March 7, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac54971fc88190b009a05180f10cf5 completed March 7, 2026, 4:38 p.m.
Created at: March 1, 2026, 7:44 p.m.