Triple
T14847092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Losey |
E349125
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Patricia Mohan
Patricia Mohan is best known as the wife of acclaimed American-born British film director Joseph Losey.
|
E1224978
|
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: Patricia Mohan | Statement: [Joseph Losey, spouse, Patricia Mohan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Mohan Context triple: [Joseph Losey, spouse, Patricia Mohan]
-
A.
Patricia Lynch
Patricia Lynch was an Irish author best known for her children's books that often blended fantasy with Irish rural life and folklore.
-
B.
Patricia O’Callaghan
Patricia O’Callaghan is a Canadian soprano and cabaret-style singer known for her interpretations of Leonard Cohen’s songs and eclectic repertoire spanning classical, pop, and chanson.
-
C.
Patricia Conolly
Patricia Conolly is an Australian-born stage actress known for her extensive work on Broadway and in major theatre productions internationally.
-
D.
Patricia Laffan
Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
-
E.
Patricia Tiernan
Patricia Tiernan is an actress known for her role in the musical film "She’s Working Her Way Through College."
- 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: Patricia Mohan Triple: [Joseph Losey, spouse, Patricia Mohan]
Generated description
Patricia Mohan is best known as the wife of acclaimed American-born British film director Joseph Losey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patricia Mohan Target entity description: Patricia Mohan is best known as the wife of acclaimed American-born British film director Joseph Losey.
-
A.
Patricia Lynch
Patricia Lynch was an Irish author best known for her children's books that often blended fantasy with Irish rural life and folklore.
-
B.
Patricia O’Callaghan
Patricia O’Callaghan is a Canadian soprano and cabaret-style singer known for her interpretations of Leonard Cohen’s songs and eclectic repertoire spanning classical, pop, and chanson.
-
C.
Patricia Conolly
Patricia Conolly is an Australian-born stage actress known for her extensive work on Broadway and in major theatre productions internationally.
-
D.
Patricia Laffan
Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
-
E.
Patricia Tiernan
Patricia Tiernan is an actress known for her role in the musical film "She’s Working Her Way Through College."
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d960bd08190b8ac366273646865 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eaca31081909cc81e73af61f2f0 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007fde282c81909c9e7b210dd6e715 |
completed | May 10, 2026, 12:53 p.m. |
Created at: April 10, 2026, 1:53 a.m.