Triple
T17182450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingeborg Bachmann |
E417016
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bachmann
Bachmann is a German-language surname most notably associated with Austrian poet and writer Ingeborg Bachmann.
|
E1255756
|
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: Bachmann | Statement: [Ingeborg Bachmann, familyName, Bachmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachmann Context triple: [Ingeborg Bachmann, familyName, Bachmann]
-
A.
Michele Bachmann
Michele Bachmann is an American politician and former Republican congresswoman from Minnesota known for her strong conservative and Tea Party-aligned positions.
-
B.
Michel Bachmann
Michel Bachmann is a French local politician serving as the mayor of the commune of Chauconin-Neufmontiers in the Île-de-France region.
-
C.
Sarah Palin
Sarah Palin is an American politician and former governor of Alaska who gained national prominence as the Republican vice-presidential nominee in the 2008 U.S. presidential election.
-
D.
Sharron
Sharron is a given name, typically a variant spelling of Sharon used as a feminine first name.
-
E.
Cheney
Cheney is an American author and former Second Lady of the United States, known for her work on U.S. history and for being married to former Vice President Dick Cheney.
- 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: Bachmann Triple: [Ingeborg Bachmann, familyName, Bachmann]
Generated description
Bachmann is a German-language surname most notably associated with Austrian poet and writer Ingeborg Bachmann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bachmann Target entity description: Bachmann is a German-language surname most notably associated with Austrian poet and writer Ingeborg Bachmann.
-
A.
Michele Bachmann
Michele Bachmann is an American politician and former Republican congresswoman from Minnesota known for her strong conservative and Tea Party-aligned positions.
-
B.
Michel Bachmann
Michel Bachmann is a French local politician serving as the mayor of the commune of Chauconin-Neufmontiers in the Île-de-France region.
-
C.
Sarah Palin
Sarah Palin is an American politician and former governor of Alaska who gained national prominence as the Republican vice-presidential nominee in the 2008 U.S. presidential election.
-
D.
Sharron
Sharron is a given name, typically a variant spelling of Sharon used as a feminine first name.
-
E.
Cheney
Cheney is an American author and former Second Lady of the United States, known for her work on U.S. history and for being married to former Vice President Dick Cheney.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fca04cc8190a9df230078fbe268 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0161e5f6f0819083c57feac088f531 |
completed | May 11, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162785e7081908d57801eeae7cf67 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.