Triple
T4623182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One, Two, Three |
E101033
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Horst Buchholz |
E252846
|
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: Horst Buchholz | Statement: [One, Two, Three, starring, Horst Buchholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horst Buchholz Context triple: [One, Two, Three, starring, Horst Buchholz]
-
A.
Horst Buchholz
chosen
Horst Buchholz was a German actor best known internationally for his role as the young gunfighter Chico in the classic Western film "The Magnificent Seven."
-
B.
Fritz Klute
Fritz Klute was a German mountaineer and explorer known for making the first recorded ascent of Mawenzi, one of the three peaks of Mount Kilimanjaro.
-
C.
Frank Klingebiel
Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
-
D.
Jon Lieber
Jon Lieber is a former Major League Baseball right-handed starting pitcher best known for his stints with teams like the Chicago Cubs and New York Yankees during the 1990s and 2000s.
-
E.
Joe Becker
Joe Becker is a computer scientist best known as a co-founder of the Unicode Consortium and an early architect of the Unicode character encoding standard.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa069388190b6482315708b85c2 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.