Triple
T3403828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Bass |
E71721
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Amelia |
E229628
|
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: Amelia | Statement: [Ronald Bass, notableWork, Amelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amelia Context triple: [Ronald Bass, notableWork, Amelia]
-
A.
Amelia
Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
-
B.
Amelia
chosen
"Amelia" is a track featured on the album *Travelogue*, likely contributing a reflective or journey-themed element to the record’s overall narrative.
-
C.
Amelia
Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
-
D.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
E.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e8ea848190b4ac167f1aba8ebd |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd69f388190981da6454dfd4fb1 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.