Triple
T20839769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Speer |
E513061
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christian Speer |
—
|
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: Christian Speer | Statement: [Christian Speer, name, Christian Speer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Speer Context triple: [Christian Speer, name, Christian Speer]
-
A.
Christian Speer
chosen
Christian Speer is a notable individual who shares the Speer surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Paul Speer
Paul Speer is an American guitarist and composer best known for his work in new-age and instrumental rock music, including collaborations with artists like David Lanz.
-
C.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
-
D.
Scott Speer
Scott Speer is an American film director, producer, and author best known for directing music videos and feature films such as "Step Up Revolution."
-
E.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34a60848190b33078172675f8d7 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.