Triple
T17009682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estates Theatre |
E412664
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Anton Haffenecker
Anton Haffenecker was an 18th-century architect best known for designing Prague’s historic Estates Theatre.
|
E1244613
|
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: Anton Haffenecker | Statement: [Estates Theatre, architect, Anton Haffenecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anton Haffenecker Context triple: [Estates Theatre, architect, Anton Haffenecker]
-
A.
Heinz Suter
Heinz Suter is a Swiss former footballer known for his career in the Swiss domestic leagues during the 1970s and 1980s.
-
B.
Bruno Bischofberger
Bruno Bischofberger is a prominent Swiss art dealer and gallerist known for championing contemporary and Pop Art, including the work of artists like Andy Warhol and Jean-Michel Basquiat.
-
C.
Christian Vogt
Christian Vogt is a German local politician who serves as the mayor of the town of Hofheim am Taunus in Hesse.
-
D.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
E.
Pascal Jost
Pascal Jost is a French local politician serving as the mayor of the commune of Veckring in northeastern France.
- 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: Anton Haffenecker Triple: [Estates Theatre, architect, Anton Haffenecker]
Generated description
Anton Haffenecker was an 18th-century architect best known for designing Prague’s historic Estates Theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anton Haffenecker Target entity description: Anton Haffenecker was an 18th-century architect best known for designing Prague’s historic Estates Theatre.
-
A.
Heinz Suter
Heinz Suter is a Swiss former footballer known for his career in the Swiss domestic leagues during the 1970s and 1980s.
-
B.
Bruno Bischofberger
Bruno Bischofberger is a prominent Swiss art dealer and gallerist known for championing contemporary and Pop Art, including the work of artists like Andy Warhol and Jean-Michel Basquiat.
-
C.
Christian Vogt
Christian Vogt is a German local politician who serves as the mayor of the town of Hofheim am Taunus in Hesse.
-
D.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
E.
Pascal Jost
Pascal Jost is a French local politician serving as the mayor of the commune of Veckring in northeastern France.
- 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_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:33 a.m.