Triple

T22013916
Position Surface form Disambiguated ID Type / Status
Subject Piper Davis E543652 entity
Predicate nickname P55 FINISHED
Object Piper
Piper is the nickname of Lorenzo "Piper" Davis, an American Negro league baseball player and manager known for his versatile infield play and leadership.
 E1514582 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: Piper | Statement: [Piper Davis, nickname, Piper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piper
Context triple: [Piper Davis, nickname, Piper]
  • A. Piper
    Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
  • B. Piper
    Piper is a central character in the science fiction television series "Emergence," known for her mysterious origins and unusual abilities that drive much of the show's plot.
  • C. Piper
    Piper is a 2016 Pixar animated short film about a young sandpiper overcoming its fear of the ocean, acclaimed for its lifelike animation and emotional storytelling.
  • D. Piper
    Piper is a tough, no-nonsense waitress who becomes the fearless ally of Nicolas Cage’s character in the supernatural action film "Drive Angry."
  • E. Piper
    Piper is a large genus of flowering plants best known for species like black pepper (Piper nigrum), which is widely used as a spice worldwide.
  • 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: Piper
Triple: [Piper Davis, nickname, Piper]
Generated description
Piper is the nickname of Lorenzo "Piper" Davis, an American Negro league baseball player and manager known for his versatile infield play and leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piper
Target entity description: Piper is the nickname of Lorenzo "Piper" Davis, an American Negro league baseball player and manager known for his versatile infield play and leadership.
  • A. Piper
    Piper is an English surname borne by various notable individuals across entertainment, sports, and public life.
  • B. Piper
    Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
  • C. Piper
    Piper is a large genus of flowering plants best known for species like black pepper (Piper nigrum), which is widely used as a spice worldwide.
  • D. Piper
    Piper is a 2016 Pixar animated short film about a young sandpiper overcoming its fear of the ocean, acclaimed for its lifelike animation and emotional storytelling.
  • E. Piper
    Piper is a tough, no-nonsense waitress who becomes the fearless ally of Nicolas Cage’s character in the supernatural action film "Drive Angry."
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a737b547481908e9ac94f15149432 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a7516835c8190be60bd61f67307c6 completed May 18, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75cbb2408190b058713432b048a2 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:22 p.m.