Triple
T17026631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klara Sesemann |
E413080
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object |
Mr. Sesemann
Mr. Sesemann is a wealthy, kind-hearted Frankfurt businessman and the widowed father of Klara in Johanna Spyri’s novel "Heidi."
|
E1247776
|
NE FINISHED |
How this triple was built (4 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. Sesemann | Statement: [Klara Sesemann, hasFather, Mr. Sesemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Sesemann Context triple: [Klara Sesemann, hasFather, Mr. Sesemann]
-
A.
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.
-
B.
Mr. Jaeckel
Mr. Jaeckel is a supporting character allied with the protagonist in Charlie Chaplin’s film "The Great Dictator."
-
C.
Mr. Fischoeder
Mr. Fischoeder is the eccentric, wealthy, and eyepatch-wearing landlord of the Belcher family in the animated TV series "Bob's Burgers."
-
D.
Mr. Applegate
Mr. Applegate is the devilish antagonist in the musical "Damn Yankees," who tempts a baseball fan with a Faustian bargain to help his favorite team win.
-
E.
Mr. Cudahy
Mr. Cudahy is the stepfather of Jane Gallagher, a character mentioned in J.D. Salinger’s novel "The Catcher in the Rye."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Sesemann Triple: [Klara Sesemann, hasFather, Mr. Sesemann]
Generated description
Mr. Sesemann is a wealthy, kind-hearted Frankfurt businessman and the widowed father of Klara in Johanna Spyri’s novel "Heidi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Sesemann Target entity description: Mr. Sesemann is a wealthy, kind-hearted Frankfurt businessman and the widowed father of Klara in Johanna Spyri’s novel "Heidi."
-
A.
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.
-
B.
Mr. Jaeckel
Mr. Jaeckel is a supporting character allied with the protagonist in Charlie Chaplin’s film "The Great Dictator."
-
C.
Mr. Fischoeder
Mr. Fischoeder is the eccentric, wealthy, and eyepatch-wearing landlord of the Belcher family in the animated TV series "Bob's Burgers."
-
D.
Mr. Applegate
Mr. Applegate is the devilish antagonist in the musical "Damn Yankees," who tempts a baseball fan with a Faustian bargain to help his favorite team win.
-
E.
Mr. Cudahy
Mr. Cudahy is the stepfather of Jane Gallagher, a character mentioned in J.D. Salinger’s novel "The Catcher in the Rye."
- F. None of above. chosen
Provenance (5 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d5ed388190871aa738cac04b65 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:33 a.m.