Triple
T13392553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gale Page |
E319610
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Leighton Shields
Leighton Shields was the husband of American actress Gale Page, known primarily in connection with her personal life.
|
E1036498
|
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: Leighton Shields | Statement: [Gale Page, spouse, Leighton Shields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leighton Shields Context triple: [Gale Page, spouse, Leighton Shields]
-
A.
Leigh Gill
Leigh Gill is a British actor known for his roles in film and television, including a notable appearance in the 2019 psychological thriller "Joker."
-
B.
Ian Boldsworth
Ian Boldsworth is a British comedian, writer, and podcaster best known for his work in alternative comedy and shows like the paranormal podcast "The ParaPod."
-
C.
Mark Lofthouse
Mark Lofthouse is a former Canadian professional ice hockey right winger who played in the NHL during the late 1970s and 1980s.
-
D.
Leigh Woods
Leigh Woods is a wooded area and affluent residential suburb on the outskirts of Bristol, England, known for its scenic nature reserve overlooking the Avon Gorge.
-
E.
Leyland Hodgson
Leyland Hodgson was a British-born character actor who appeared in numerous Hollywood films from the 1930s to the 1950s, often in supporting or authority-figure roles.
- 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: Leighton Shields Triple: [Gale Page, spouse, Leighton Shields]
Generated description
Leighton Shields was the husband of American actress Gale Page, known primarily in connection with her personal life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leighton Shields Target entity description: Leighton Shields was the husband of American actress Gale Page, known primarily in connection with her personal life.
-
A.
Leigh Gill
Leigh Gill is a British actor known for his roles in film and television, including a notable appearance in the 2019 psychological thriller "Joker."
-
B.
Ian Boldsworth
Ian Boldsworth is a British comedian, writer, and podcaster best known for his work in alternative comedy and shows like the paranormal podcast "The ParaPod."
-
C.
Mark Lofthouse
Mark Lofthouse is a former Canadian professional ice hockey right winger who played in the NHL during the late 1970s and 1980s.
-
D.
Leigh Woods
Leigh Woods is a wooded area and affluent residential suburb on the outskirts of Bristol, England, known for its scenic nature reserve overlooking the Avon Gorge.
-
E.
Leyland Hodgson
Leyland Hodgson was a British-born character actor who appeared in numerous Hollywood films from the 1930s to the 1950s, often in supporting or authority-figure roles.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72693a440819095a3136d8f49680a |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f72751f1b48190a8a79f10bf52b73d |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727fbfde88190865aea5d6b4cb29d |
completed | May 3, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:34 p.m.