Triple

T3998225
Position Surface form Disambiguated ID Type / Status
Subject Tom Brokaw E87148 entity
Predicate employer P7 FINISHED
Object KMTV
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
 E406052 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: KMTV | Statement: [Tom Brokaw, employer, KMTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMTV
Context triple: [Tom Brokaw, employer, KMTV]
  • A. KMSP-TV
    KMSP-TV is a Fox-affiliated television station serving the Minneapolis–Saint Paul metropolitan area.
  • B. KING-TV
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • C. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • D. KTBC
    KTBC is a Fox-owned television station serving the Austin, Texas market.
  • E. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • 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: KMTV
Triple: [Tom Brokaw, employer, KMTV]
Generated description
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMTV
Target entity description: KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
  • A. KMSP-TV
    KMSP-TV is a Fox-affiliated television station serving the Minneapolis–Saint Paul metropolitan area.
  • B. KING-TV
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • C. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • D. KTBC
    KTBC is a Fox-owned television station serving the Austin, Texas market.
  • E. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c57f60c819080e237b4b056d73b completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dbaf3d88190962e5c0b5b4604d4 completed March 14, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69b54e16cde48190bb82f0eb04470629 completed March 14, 2026, 12:01 p.m.
Created at: March 9, 2026, 3:34 p.m.