Triple
T17606932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Biehn |
E428856
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Biehn |
—
|
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: Biehn | Statement: [Michael Biehn, familyName, Biehn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biehn Context triple: [Michael Biehn, familyName, Biehn]
-
A.
Biehn
chosen
Biehn is the surname of American actor Michael Biehn, known for his roles in science fiction and action films such as The Terminator and Aliens.
-
B.
Veit Renn
Veit Renn is a music producer best known for his work on major pop projects, including *No Strings Attached* by NSYNC.
-
C.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
D.
Guion
Guion is a surname of French origin historically associated with several notable families and individuals.
-
E.
Andor Knorr
Andor Knorr is a Hungarian figure known primarily through his familial connection to Adam Sors, a character from the novel and film "Sunshine" that traces the fortunes of a Jewish Hungarian family across generations.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.