Triple
T7593227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condon |
E179790
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sean Condon
Sean Condon is an Australian writer known for his humorous travel memoirs and fiction.
|
E683664
|
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: Sean Condon | Statement: [Condon, hasNotableBearer, Sean Condon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Condon Context triple: [Condon, hasNotableBearer, Sean Condon]
-
A.
Brian Curran
Brian Curran is a Scottish zoo founder and entrepreneur best known for establishing and developing the Five Sisters Zoo in West Calder, Scotland.
-
B.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Eric O'Grady
Eric O'Grady is a morally dubious S.H.I.E.L.D. agent who becomes the third Ant-Man in Marvel Comics, known for using the shrinking technology for selfish and often comedic purposes.
-
E.
Kevin O’Hare
Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
- 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: Sean Condon Triple: [Condon, hasNotableBearer, Sean Condon]
Generated description
Sean Condon is an Australian writer known for his humorous travel memoirs and fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Condon Target entity description: Sean Condon is an Australian writer known for his humorous travel memoirs and fiction.
-
A.
Brian Curran
Brian Curran is a Scottish zoo founder and entrepreneur best known for establishing and developing the Five Sisters Zoo in West Calder, Scotland.
-
B.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Eric O'Grady
Eric O'Grady is a morally dubious S.H.I.E.L.D. agent who becomes the third Ant-Man in Marvel Comics, known for using the shrinking technology for selfish and often comedic purposes.
-
E.
Kevin O’Hare
Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bab3a08190a2c36b2c72a1de25 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8a4e2c81909b8038b2da8e806d |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8b06e0690819090b8e7e5e957f88b |
completed | March 29, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b0c5be948190abc68efa3e9a4074 |
completed | March 29, 2026, 4:55 a.m. |
Created at: March 27, 2026, 3:53 p.m.