Triple
T23020746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Lang |
E573154
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Lang |
—
|
NE NERFINISHED |
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: Lang | Statement: [Hermann Lang, hasFamilyName, Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lang Context triple: [Hermann Lang, hasFamilyName, Lang]
-
A.
Lang
Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
-
B.
Lang
chosen
Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
-
C.
Langue
Langue is a municipality located in the Valle Department of southern Honduras, known for its rural character and proximity to the Gulf of Fonseca.
-
D.
Language
Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
-
E.
LING
LING is the station code for Lingotto, a Turin Metro station serving the Lingotto district in Turin, Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.