Triple
T2240893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Bird |
E49392
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Simon Bird |
E49392
|
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: Simon Bird | Statement: [Simon Bird, name, Simon Bird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Bird Context triple: [Simon Bird, name, Simon Bird]
-
A.
Simon Bird
chosen
Simon Bird is an English actor and comedian best known for playing Will McKenzie in the sitcom "The Inbetweeners."
-
B.
Eoin Colfer
Eoin Colfer is an Irish author best known for creating the popular Artemis Fowl series of children's fantasy novels.
-
C.
Charlie Baker
Charlie Baker is an American politician who served as the Republican governor of Massachusetts from 2015 to 2023 and was known for his moderate, bipartisan approach to governance.
-
D.
Simon Beaufoy
Simon Beaufoy is an Academy Award–winning British screenwriter known for films such as "Slumdog Millionaire," "The Full Monty," and "127 Hours."
-
E.
Ben Aaronovitch
Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0bccf688190bd10202a62fdf34e |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.