Triple

T8800835
Position Surface form Disambiguated ID Type / Status
Subject Andrew Liveris E209401 entity
Predicate familyName P18 FINISHED
Object Liveris
Liveris is a Greek-origin surname most notably associated with Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
 E759313 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: Liveris | Statement: [Andrew Liveris, familyName, Liveris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liveris
Context triple: [Andrew Liveris, familyName, Liveris]
  • A. Ristna
    Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
  • B. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • C. Leisi
    Leisi is a small settlement located on the island of Saaremaa in western Estonia.
  • D. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • E. Hainleite
    Hainleite is a low mountain range in central Germany, known for its forested limestone ridges and location on the northern edge of Thuringia.
  • 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: Liveris
Triple: [Andrew Liveris, familyName, Liveris]
Generated description
Liveris is a Greek-origin surname most notably associated with Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liveris
Target entity description: Liveris is a Greek-origin surname most notably associated with Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
  • A. Ristna
    Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
  • B. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • C. Leisi
    Leisi is a small settlement located on the island of Saaremaa in western Estonia.
  • D. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • E. Hainleite
    Hainleite is a low mountain range in central Germany, known for its forested limestone ridges and location on the northern edge of Thuringia.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb8aab88190befed16301e08efc completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:44 p.m.