Triple

T5702376
Position Surface form Disambiguated ID Type / Status
Subject Leonard Pitts Jr. E125693 entity
Predicate notableWork P4 FINISHED
Object Freeman
Freeman is a historical novel by Leonard Pitts Jr. that explores the struggles and hopes of formerly enslaved people in the aftermath of the American Civil War.
E540924 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: Freeman | Statement: [Leonard Pitts Jr., notableWork, Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freeman
Context triple: [Leonard Pitts Jr., notableWork, Freeman]
  • A. Freeman
    Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
  • B. Freeman
    Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
  • C. Freeman
    Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
  • D. Freeman Meskimen
    Freeman Meskimen was an American actor and the husband of actress Marion Ross.
  • E. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • 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: Freeman
Triple: [Leonard Pitts Jr., notableWork, Freeman]
Generated description
Freeman is a historical novel by Leonard Pitts Jr. that explores the struggles and hopes of formerly enslaved people in the aftermath of the American Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Freeman
Target entity description: Freeman is a historical novel by Leonard Pitts Jr. that explores the struggles and hopes of formerly enslaved people in the aftermath of the American Civil War.
  • A. Freeman
    Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
  • B. Freeman
    Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
  • C. Freeman
    Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
  • D. Freeman Meskimen
    Freeman Meskimen was an American actor and the husband of actress Marion Ross.
  • E. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0245581988190a819b8137533ed31 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5fe4fc8190944a63a29da0fe3c completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05c1d98b4819080ae9163a0cfd659 completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05caea8b881908a4d12aec44f422e completed March 22, 2026, 9:18 p.m.
Created at: March 22, 2026, 3:45 p.m.