Triple
T14713453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piper Maru Klotz |
E345614
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Klotz |
E934037
|
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: Klotz | Statement: [Piper Maru Klotz, familyName, Klotz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klotz Context triple: [Piper Maru Klotz, familyName, Klotz]
-
A.
Klotz
chosen
Klotz is the birth surname of American actress Mae Clarke, known for her roles in early 1930s Hollywood films such as "Frankenstein" and "The Public Enemy."
-
B.
Klötze
Klötze is a small town in the Altmark region of Saxony-Anhalt in central Germany.
-
C.
Klamm
Klamm is a powerful, elusive bureaucratic official in Franz Kafka’s novel "The Castle," symbolizing opaque and inaccessible authority.
-
D.
Schleprock
Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
-
E.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08f2aa08190a5ac3240d1de90fb |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.