Triple
T7346873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gebbia |
E169401
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Christian Gebbia
Christian Gebbia is a relatively obscure individual about whom no widely known public information is available.
|
E661940
|
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: Christian Gebbia | Statement: [Gebbia, hasNotableBearer, Christian Gebbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Gebbia Context triple: [Gebbia, hasNotableBearer, Christian Gebbia]
-
A.
Carl Gebbia
Carl Gebbia is an individual notable enough to be recognized as a bearer of the surname Gebbia, though little widely known public information is available about him.
-
B.
Joe Gebbia
Joe Gebbia is an American designer and entrepreneur best known as a co-founder of the home-sharing platform Airbnb.
-
C.
Gina Gebbia
Gina Gebbia is a notable individual recognized for sharing the Gebbia surname, which is associated with several prominent public figures.
-
D.
Noah Georgeson
Noah Georgeson is an American record producer, musician, and mixer known for his work with indie and folk artists such as Joanna Newsom and Devendra Banhart.
-
E.
Luke Ciarrocchi
Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
- 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: Christian Gebbia Triple: [Gebbia, hasNotableBearer, Christian Gebbia]
Generated description
Christian Gebbia is a relatively obscure individual about whom no widely known public information is available.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Gebbia Target entity description: Christian Gebbia is a relatively obscure individual about whom no widely known public information is available.
-
A.
Carl Gebbia
Carl Gebbia is an individual notable enough to be recognized as a bearer of the surname Gebbia, though little widely known public information is available about him.
-
B.
Joe Gebbia
Joe Gebbia is an American designer and entrepreneur best known as a co-founder of the home-sharing platform Airbnb.
-
C.
Gina Gebbia
Gina Gebbia is a notable individual recognized for sharing the Gebbia surname, which is associated with several prominent public figures.
-
D.
Noah Georgeson
Noah Georgeson is an American record producer, musician, and mixer known for his work with indie and folk artists such as Joanna Newsom and Devendra Banhart.
-
E.
Luke Ciarrocchi
Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:05 p.m.