Triple
T16535293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Hodge |
E401674
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Peter Owen
Peter Owen is a British individual best known as the husband of acclaimed actress Patricia Hodge.
|
E1217831
|
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: Peter Owen | Statement: [Patricia Hodge, spouse, Peter Owen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Owen Context triple: [Patricia Hodge, spouse, Peter Owen]
-
A.
Paul Owens
Paul Owens was a longtime Philadelphia Phillies executive and manager who helped build and lead the franchise to its first era of sustained success in the 1970s and early 1980s.
-
B.
W. Owen
W. Owen was a collector or folklorist known for documenting the traditional song "Sloop John B."
-
C.
Peter Ackerley
Peter Ackerley was the brother of British writer and editor J. R. Ackerley, a notable figure in his personal life and family background.
-
D.
William Alsop
William Alsop was a British architect known for his bold, colorful, and unconventional postmodern designs and influential public buildings.
-
E.
Peter Browne
Peter Browne is a relatively common personal name shared by multiple notable individuals across fields such as politics, religion, and academia.
- 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: Peter Owen Triple: [Patricia Hodge, spouse, Peter Owen]
Generated description
Peter Owen is a British individual best known as the husband of acclaimed actress Patricia Hodge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Owen Target entity description: Peter Owen is a British individual best known as the husband of acclaimed actress Patricia Hodge.
-
A.
Paul Owens
Paul Owens was a longtime Philadelphia Phillies executive and manager who helped build and lead the franchise to its first era of sustained success in the 1970s and early 1980s.
-
B.
W. Owen
W. Owen was a collector or folklorist known for documenting the traditional song "Sloop John B."
-
C.
Peter Ackerley
Peter Ackerley was the brother of British writer and editor J. R. Ackerley, a notable figure in his personal life and family background.
-
D.
William Alsop
William Alsop was a British architect known for his bold, colorful, and unconventional postmodern designs and influential public buildings.
-
E.
Peter Browne
Peter Browne is a relatively common personal name shared by multiple notable individuals across fields such as politics, religion, and academia.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060eca9fc81908f376cd2f7219bcd |
completed | May 10, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00622f44ec8190a7d66c7882ae28b2 |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.