Triple
T8223339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunetra Sastry |
E192117
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Ben Atkinson |
E191030
|
NE FINISHED |
How this triple was built (2 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: Ben Atkinson | Statement: [Sunetra Sastry, hasChild, Ben Atkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Atkinson Context triple: [Sunetra Sastry, hasChild, Ben Atkinson]
-
A.
Ben Atkinson
chosen
Ben Atkinson is one of the children of British comedian and actor Rowan Atkinson, best known for his iconic role as Mr. Bean.
-
B.
Cam Atkinson
Cam Atkinson is an American professional ice hockey right winger known for his goal-scoring ability and long tenure as a key offensive player in the NHL.
-
C.
Simon Dermott
Simon Dermott is the charming, clever art expert and thief portrayed by Peter O’Toole in the 1966 heist comedy film "How to Steal a Million."
-
D.
Scott Barnes
Scott Barnes is an American college athletics administrator who serves as the athletic director at Oregon State University and has previously held similar roles at several other universities.
-
E.
Scott Chestnut
Scott Chestnut is a film editor best known for his work on the World War II drama "The Great Raid."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34ca59ec8190b611681ec9dfd97f |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:45 p.m.