Triple
T16284551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Child |
E395355
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lauren Child |
E395355
|
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: Lauren Child | Statement: [Lauren Child, name, Lauren Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Child Context triple: [Lauren Child, name, Lauren Child]
-
A.
Lauren Child
chosen
Lauren Child is a British author and illustrator best known for her popular children's book series such as "Charlie and Lola" and "Clarice Bean."
-
B.
Jacqueline Wilson
Jacqueline Wilson is a British children's author best known for her realistic and emotionally rich novels such as "Tracy Beaker," which often explore complex family and social issues.
-
C.
Joanna Cole
Joanna Cole was an American children's author best known for writing the educational and humorous "The Magic School Bus" book series.
-
D.
Anne Fine
Anne Fine is a British author best known for her children's and young adult novels, including the book that inspired the film "Mrs. Doubtfire."
-
E.
Kate Wibberly
Kate Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24913a55081909a9a5a7a7f4806cc |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fd56008190a9cb896e7ea2d26a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.