Triple
T10068806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoechst |
E213164
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Farbwerke Hoechst AG |
E213164
|
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: Farbwerke Hoechst AG | Statement: [Hoechst, alsoKnownAs, Farbwerke Hoechst AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farbwerke Hoechst AG Context triple: [Hoechst, alsoKnownAs, Farbwerke Hoechst AG]
-
A.
Ciba-Geigy
Ciba-Geigy was a major Swiss pharmaceutical and chemical company that became one of the predecessors of Novartis after its merger with Sandoz in 1996.
-
B.
Hoechst
chosen
Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
-
C.
Badische Anilin- & Soda-Fabrik
Badische Anilin- & Soda-Fabrik was the original name of BASF, a major German chemical company that became one of the world’s largest producers of chemicals and related products.
-
D.
IG Farben
IG Farben was a powerful German chemical and pharmaceutical conglomerate that played a central role in supporting the Nazi war effort and the atrocities of the Holocaust during World War II.
-
E.
Bayer
Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b63d13fc8190bdeac3c7b2529052 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:58 p.m.