Triple
T11567882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Sissons |
E274301
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Sissons
Michael Sissons is the son of British journalist and newsreader Peter Sissons.
|
E973760
|
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: Michael Sissons | Statement: [Peter Sissons, hasChild, Michael Sissons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sissons Context triple: [Peter Sissons, hasChild, Michael Sissons]
-
A.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Jonathan Sissons
Jonathan Sissons is the son of the late British television newsreader and journalist Peter Sissons.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
- 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: Michael Sissons Triple: [Peter Sissons, hasChild, Michael Sissons]
Generated description
Michael Sissons is the son of British journalist and newsreader Peter Sissons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Sissons Target entity description: Michael Sissons is the son of British journalist and newsreader Peter Sissons.
-
A.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Jonathan Sissons
chosen
Jonathan Sissons is the son of the late British television newsreader and journalist Peter Sissons.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
- F. None of above.
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7133d88190813a1e74ef310993 |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62d0377348190b7c227cad70286ac |
completed | May 2, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62dc269e88190acce761f77d44654 |
completed | May 2, 2026, 5 p.m. |
Created at: April 8, 2026, 9:37 p.m.