Triple
T10697031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Bellaver |
E252171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bellaver
Bellaver is a surname most notably associated with American character actor Harry Bellaver, known for his work in mid-20th-century film and television.
|
E880796
|
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: Bellaver | Statement: [Harry Bellaver, familyName, Bellaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellaver Context triple: [Harry Bellaver, familyName, Bellaver]
-
A.
Bellabeg
Bellabeg is a small village in Strathdon, Aberdeenshire, Scotland, known for its role as the starting point of the annual Lonach Highland Gathering and March.
-
B.
Darvel
Darvel is a small town in East Ayrshire, Scotland, historically known for its lace-making industry and rural setting in the Irvine Valley.
-
C.
Navarrenx
Navarrenx is a historic fortified town in southwestern France, known for its well-preserved ramparts and strategic position in the Béarn region.
-
D.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
E.
Miravet
Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
- 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: Bellaver Triple: [Harry Bellaver, familyName, Bellaver]
Generated description
Bellaver is a surname most notably associated with American character actor Harry Bellaver, known for his work in mid-20th-century film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellaver Target entity description: Bellaver is a surname most notably associated with American character actor Harry Bellaver, known for his work in mid-20th-century film and television.
-
A.
Bellabeg
Bellabeg is a small village in Strathdon, Aberdeenshire, Scotland, known for its role as the starting point of the annual Lonach Highland Gathering and March.
-
B.
Darvel
Darvel is a small town in East Ayrshire, Scotland, historically known for its lace-making industry and rural setting in the Irvine Valley.
-
C.
Navarrenx
Navarrenx is a historic fortified town in southwestern France, known for its well-preserved ramparts and strategic position in the Béarn region.
-
D.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
E.
Miravet
Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd89390c8190969ab2b4a79d5818 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998e447e0819098e839e9e121a21f |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.