Triple
T23442528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Fischoeder |
E565440
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Mr. Fischoeder |
—
|
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: Mr. Fischoeder | Statement: [Mr. Fischoeder, alias, Mr. Fischoeder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Fischoeder Context triple: [Mr. Fischoeder, alias, Mr. Fischoeder]
-
A.
Mr. Fischoeder
chosen
Mr. Fischoeder is the eccentric, wealthy, and eyepatch-wearing landlord of the Belcher family in the animated TV series "Bob's Burgers."
-
B.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
-
C.
Mr. Klotz
Mr. Klotz is a central figure in Pier Paolo Pasolini’s film and play "Porcile," representing themes of moral decay, bourgeois corruption, and the grotesque contradictions of modern society.
-
D.
Mr. Jaeckel
Mr. Jaeckel is a supporting character allied with the protagonist in Charlie Chaplin’s film "The Great Dictator."
-
E.
Mr. Sesemann
Mr. Sesemann is a wealthy, kind-hearted Frankfurt businessman and the widowed father of Klara in Johanna Spyri’s novel "Heidi."
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.