Triple

T987345
Position Surface form Disambiguated ID Type / Status
Subject Zellig Harris E21308 entity
Predicate familyName P18 FINISHED
Object Harris
Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
 E116649 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: Harris | Statement: [Zellig Harris, familyName, Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harris
Context triple: [Zellig Harris, familyName, Harris]
  • A. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • B. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • C. Howard
    Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
  • D. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • E. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • 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: Harris
Triple: [Zellig Harris, familyName, Harris]
Generated description
Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harris
Target entity description: Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
  • A. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • B. Howard
    Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
  • C. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • D. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • E. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a7754c8190a10ba0587bd8323d completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac20a7f47c8190b765cde3c6fbe1f8 completed March 7, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac21640a8c8190820a1b34a7d5c895 completed March 7, 2026, 1 p.m.
Created at: March 1, 2026, 7:41 p.m.