Triple
T4525947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemima Potts |
E103377
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Potts |
E450003
|
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: Potts | Statement: [Jemima Potts, familyName, Potts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potts Context triple: [Jemima Potts, familyName, Potts]
-
A.
Potts
chosen
Potts is the surname of Caractacus Potts, the eccentric inventor and father from the children’s story "Chitty-Chitty-Bang-Bang."
-
B.
Pugh
Pugh is a surname most prominently associated with English actress Florence Pugh, known for her acclaimed performances in films such as "Midsommar" and "Little Women."
-
C.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
D.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
E.
Mott
Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacd4a09881909cf0e9d665454e38 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:03 p.m.