Triple
T5828386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Mrs. Tiggy-Winkle |
E129284
|
entity |
| Predicate | hasHumanCharacter |
P12208
|
FINISHED |
| Object | Lucie |
E550748
|
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: Lucie | Statement: [The Tale of Mrs. Tiggy-Winkle, hasHumanCharacter, Lucie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucie Context triple: [The Tale of Mrs. Tiggy-Winkle, hasHumanCharacter, Lucie]
-
A.
Lucie
chosen
Lucie is a little girl in Beatrix Potter’s children’s story "The Tale of Mrs. Tiggy-Winkle," known for visiting the hedgehog washerwoman in a whimsical countryside adventure.
-
B.
Lucie Dreyfus
Lucie Dreyfus was the devoted wife of French army officer Alfred Dreyfus, who became a prominent figure for her steadfast support and advocacy during the infamous Dreyfus affair.
-
C.
Mathilde
Mathilde is a feminine given name of Germanic origin, commonly used in various European countries.
-
D.
Lucie de l’Aigle
Lucie de l’Aigle was a medieval noblewoman from the Norman house of L’Aigle, known primarily through her familial ties to the Anglo-Norman aristocracy.
-
E.
Sophia Subercaseaux
Sophia Subercaseaux is an editor known for her work on the novel "The Devil All the Time."
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03467dfe48190b51757b33681bc20 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0e85cbc8190ad75d4a8246fbe43 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:53 p.m.