Triple

T8574115
Position Surface form Disambiguated ID Type / Status
Subject Celanese Corporation E203002 entity
Predicate formerlyKnownAs P65 FINISHED
Object Hoechst Celanese Corporation E203002 NE FINISHED

How this triple was built (2 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: Hoechst Celanese Corporation | Statement: [Celanese Corporation, formerlyKnownAs, Hoechst Celanese Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoechst Celanese Corporation
Context triple: [Celanese Corporation, formerlyKnownAs, Hoechst Celanese Corporation]
  • A. Celanese Corporation chosen
    Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
  • B. Hoechst
    Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
  • C. Rohm and Haas
    Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
  • D. BASF
    BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
  • E. Invista
    Invista is a global manufacturer of polymers and fibers, best known for producing materials used in textiles, carpets, and industrial applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea88464b88190983e22e70bf38e63 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:21 p.m.