Triple

T3614796
Position Surface form Disambiguated ID Type / Status
Subject Allstate E76573 entity
Predicate tickerSymbol P1447 FINISHED
Object ALL
ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
 E373183 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: ALL | Statement: [Allstate, tickerSymbol, ALL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALL
Context triple: [Allstate, tickerSymbol, ALL]
  • A. All 4
    All 4 was the former name of Channel 4’s on-demand streaming service in the United Kingdom, offering catch-up and box-set content across its TV brands.
  • B. ALLA
    ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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: ALL
Triple: [Allstate, tickerSymbol, ALL]
Generated description
ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALL
Target entity description: ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
  • A. All 4
    All 4 was the former name of Channel 4’s on-demand streaming service in the United Kingdom, offering catch-up and box-set content across its TV brands.
  • B. ALLA
    ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc279f6948190b9655a4cf3e77d89 completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433184a4081908598f4084e959c2e completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436e75b6081908a64983955504af8 completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b43aa17e048190a39eb22a5be9da0c completed March 13, 2026, 4:26 p.m.
Created at: March 8, 2026, 3:23 p.m.