Triple

T15010575
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Lacks E377824 entity
Predicate familyName P18 FINISHED
Object Lacks
Lacks is the surname of Henrietta Lacks, the African American woman whose cells (HeLa) became one of the most important tools in medical research.
 E1131612 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: Lacks | Statement: [Henrietta Lacks, familyName, Lacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lacks
Context triple: [Henrietta Lacks, familyName, Lacks]
  • A. Lack
    Lack is a fictional duckling character known primarily by the simple, single-word name "Lack."
  • B. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • C. Skanless
    Skanless is a track by rapper Quik featured on his album "Quik Is the Name."
  • D. Lipsi
    Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
  • E. Lempty
    Lempty is a small locality situated within the Thiers arrondissement in central France.
  • 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: Lacks
Triple: [Henrietta Lacks, familyName, Lacks]
Generated description
Lacks is the surname of Henrietta Lacks, the African American woman whose cells (HeLa) became one of the most important tools in medical research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lacks
Target entity description: Lacks is the surname of Henrietta Lacks, the African American woman whose cells (HeLa) became one of the most important tools in medical research.
  • A. Lack
    Lack is a fictional duckling character known primarily by the simple, single-word name "Lack."
  • B. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • C. Skanless
    Skanless is a track by rapper Quik featured on his album "Quik Is the Name."
  • D. Lipsi
    Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
  • E. Lempty
    Lempty is a small locality situated within the Thiers arrondissement in central France.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded734943481908dad4ceed4fe850c completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98288b348190b4e25b09f83f0ec4 completed May 9, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69fe98e585308190ac0e1c0a91c89113 completed May 9, 2026, 2:16 a.m.
Created at: April 10, 2026, 2:55 a.m.