Triple
T22633452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 francs |
E558614
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Thomas Langmann |
—
|
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: Thomas Langmann | Statement: [99 francs, producer, Thomas Langmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Langmann Context triple: [99 francs, producer, Thomas Langmann]
-
A.
Thomas Langmann
chosen
Thomas Langmann is a French film producer and actor best known for producing the Academy Award–winning silent film "The Artist."
-
B.
Arthur Lange
Arthur Lange was an American composer and arranger known for his prolific work on film scores during the early 20th century Hollywood era.
-
C.
Thomas Eichhorst
Thomas Eichhorst is a high-ranking Nazi-turned-vampiric servant of the Master in "The Strain," known as the longtime nemesis of Abraham Setrakian.
-
D.
Philip Langner
Philip Langner was an American theater and film producer best known for his work on influential mid-20th-century stage and screen productions.
-
E.
Robert Hanhart
Robert Hanhart is a classical philologist and biblical scholar known for his work on the Septuagint and critical editions of ancient Greek texts.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700be10c8190830393fdbec1033d |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.