Triple
T7420858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | van Damm |
E171240
|
entity |
| Predicate | hasOrthographicVariant |
P457
|
FINISHED |
| Object | Van Damm |
E171240
|
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: Van Damm | Statement: [van Damm, hasOrthographicVariant, Van Damm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Damm Context triple: [van Damm, hasOrthographicVariant, Van Damm]
-
A.
van Damm
chosen
Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
-
B.
Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
-
C.
Martini & Rossi
Martini & Rossi is an Italian company best known for producing vermouth and sparkling wines, as well as for its iconic Martini Racing motorsport sponsorships.
-
D.
Le Vin
Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
-
E.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.