Triple
T15890621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Daimler |
E385307
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Horch |
E212603
|
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: Horch | Statement: [Paul Daimler, employer, Horch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horch Context triple: [Paul Daimler, employer, Horch]
-
A.
Horch
chosen
Horch was a pioneering early 20th-century German automobile manufacturer founded by August Horch, whose legacy ultimately contributed to the creation of the Audi brand.
-
B.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
C.
Caracciola
Caracciola is the surname of Rudolf Caracciola, a legendary German racing driver renowned for his dominance in Grand Prix and European Championship motor racing during the 1930s.
-
D.
Hella
Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
-
E.
Hella
Hella is a Dutch industrial designer renowned for her innovative work in furniture, textiles, and color research.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561e5ac481908ead7de3140c769d |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb047b6248190b6c11ef20636f50f |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.