Triple
T9524311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubbard |
E229721
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oliver Hubbard
Oliver Hubbard is an individual notable enough to be recognized as a prominent bearer of the surname Hubbard.
|
E804039
|
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: Oliver Hubbard | Statement: [Hubbard, hasNotableBearer, Oliver Hubbard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Hubbard Context triple: [Hubbard, hasNotableBearer, Oliver Hubbard]
-
A.
Oliver Hughes
Oliver Hughes is a person known primarily as the sibling of Francis Hughes, a member of the Provisional Irish Republican Army.
-
B.
Oliver Milburn
Oliver Milburn is a British actor known for his work in film and television, particularly in UK productions from the 1990s onward.
-
C.
Oliver Hill
Oliver Hill was a prominent 20th-century British architect and designer known for his modernist and Art Deco buildings, particularly in seaside resorts and country houses.
-
D.
Oliver Butcher
Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
-
E.
Oscar Hubbard
Oscar Hubbard is a ruthless, money-driven Southern businessman and one of the central antagonists in Lillian Hellman’s play *The Little Foxes*.
- 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: Oliver Hubbard Triple: [Hubbard, hasNotableBearer, Oliver Hubbard]
Generated description
Oliver Hubbard is an individual notable enough to be recognized as a prominent bearer of the surname Hubbard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Hubbard Target entity description: Oliver Hubbard is an individual notable enough to be recognized as a prominent bearer of the surname Hubbard.
-
A.
Oliver Hughes
Oliver Hughes is a person known primarily as the sibling of Francis Hughes, a member of the Provisional Irish Republican Army.
-
B.
Oliver Milburn
Oliver Milburn is a British actor known for his work in film and television, particularly in UK productions from the 1990s onward.
-
C.
Oliver Hill
Oliver Hill was a prominent 20th-century British architect and designer known for his modernist and Art Deco buildings, particularly in seaside resorts and country houses.
-
D.
Oliver Butcher
Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
-
E.
Oscar Hubbard
Oscar Hubbard is a ruthless, money-driven Southern businessman and one of the central antagonists in Lillian Hellman’s play *The Little Foxes*.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a61fbd08190bb68ffe29da3a34a |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c0344388190aefc18936b17b9f0 |
completed | April 4, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13c7b2954819096a276e083d4fed1 |
completed | April 4, 2026, 4:29 p.m. |
Created at: March 30, 2026, 7:59 p.m.