Triple
T15550983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Radcliffe |
E370742
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Dodie Smith |
E347338
|
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: Dodie Smith | Statement: [Anita Radcliffe, basedOnAuthor, Dodie Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodie Smith Context triple: [Anita Radcliffe, basedOnAuthor, Dodie Smith]
-
A.
Dodie Smith
chosen
Dodie Smith was an English novelist and playwright best known for writing the children's classic "The Hundred and One Dalmatians."
-
B.
E. Nesbit
E. Nesbit was a pioneering English author best known for her influential children's novels such as "The Railway Children" and "Five Children and It."
-
C.
Doreen Mantle
Doreen Mantle was a British actress best known for her long-running role as Mrs. Warboys in the BBC sitcom "One Foot in the Grave."
-
D.
Judith Kerr
Judith Kerr was a German-born British writer and illustrator best known for her classic children’s books such as "The Tiger Who Came to Tea" and the "Mog" series.
-
E.
Penelope Lively
Penelope Lively is a British novelist and short story writer renowned for her psychologically rich fiction and winner of major literary prizes including the Booker.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4560008c81908ebd278c3dc45045 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:08 a.m.