Triple
T16967263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gramercy Park Hotel |
E411572
|
entity |
| Predicate | coOwner |
P347
|
FINISHED |
| Object |
Michael Fuchs
Michael Fuchs is a businessman and hotelier best known for his ownership stake in New York City's historic Gramercy Park Hotel.
|
E1483077
|
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: Michael Fuchs | Statement: [Gramercy Park Hotel, coOwner, Michael Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Fuchs Context triple: [Gramercy Park Hotel, coOwner, Michael Fuchs]
-
A.
Michael Fuchs
Michael Fuchs is an actor known for his role in the independent drama film "12 and Holding."
-
B.
Peter Fuchs
Peter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically distinguished among its bearers.
-
C.
Christian Fuchs
Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
-
D.
Thomas Fuchs
Thomas Fuchs is a German computer scientist and software developer best known for creating the JavaScript libraries script.aculo.us and contributing to Prototype.
-
E.
Daniel Fuchs
Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
- 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: Michael Fuchs Triple: [Gramercy Park Hotel, coOwner, Michael Fuchs]
Generated description
Michael Fuchs is a businessman and hotelier best known for his ownership stake in New York City's historic Gramercy Park Hotel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Fuchs Target entity description: Michael Fuchs is a businessman and hotelier best known for his ownership stake in New York City's historic Gramercy Park Hotel.
-
A.
Michael Fuchs
Michael Fuchs is an actor known for his role in the independent drama film "12 and Holding."
-
B.
Peter Fuchs
Peter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically distinguished among its bearers.
-
C.
Christian Fuchs
Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
-
D.
Thomas Fuchs
Thomas Fuchs is a German computer scientist and software developer best known for creating the JavaScript libraries script.aculo.us and contributing to Prototype.
-
E.
Daniel Fuchs
Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a548b48190b87468630f3e3209 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2867edc8190b797bed840245711 |
completed | May 17, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_6a09c32956948190b49eae3dbd7bb731 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3950ff4819092b7e6135badcdf2 |
completed | May 17, 2026, 1:33 p.m. |
Created at: April 10, 2026, 5:31 a.m.