Triple
T9228722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Neroni |
E221755
|
entity |
| Predicate | flirtsWith |
P26473
|
FINISHED |
| Object | Bertie Stanhope |
E106339
|
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: Bertie Stanhope | Statement: [Madeline Neroni, flirtsWith, Bertie Stanhope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertie Stanhope Context triple: [Madeline Neroni, flirtsWith, Bertie Stanhope]
-
A.
Signor Bertie Stanhope
chosen
Signor Bertie Stanhope is a charming, idle, and somewhat roguish young man from an eccentric Italianized English family in Anthony Trollope’s novel "Barchester Towers."
-
B.
Bertie
Bertie is a filmmaker best known as one half of the directing duo Bert & Bertie, who co-directed the feature film "Troop Zero."
-
C.
Bertie
Bertie is the familiar nickname of Albert Edward, the Prince of Wales who later became King Edward VII of the United Kingdom.
-
D.
Bertie
Bertie is a common English diminutive form of the given name Bertram.
-
E.
Bertie Wooster
Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077a789f0819087d7f7612bbeaf6a |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:29 p.m.