Triple
T17506524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdman Penner |
E426330
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Erdman |
—
|
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: Erdman | Statement: [Erdman Penner, givenName, Erdman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erdman Context triple: [Erdman Penner, givenName, Erdman]
-
A.
Erdman
chosen
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
-
B.
Ernman
Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
-
C.
Jerold
Jerold is the full given first name of American college basketball coach Jay Wright.
-
D.
Yetman
Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
-
E.
Bonderman
Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45258b73c81909db581d4f1d27921 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.