Triple
T22017190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Maughan |
E543743
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sharon Maughan |
—
|
NE NERFINISHED |
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: Sharon Maughan | Statement: [Sharon Maughan, name, Sharon Maughan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon Maughan Context triple: [Sharon Maughan, name, Sharon Maughan]
-
A.
Sharon Maughan
chosen
Sharon Maughan is a British actress known for her work in film, television, and theatre, including roles in the "Gold Blend" coffee adverts and series such as "Holby City."
-
B.
Sharon McKendrick
Sharon McKendrick is one of the twin sisters, portrayed by Hayley Mills, in the 1961 Disney film "The Parent Trap," known for switching places to reunite their divorced parents.
-
C.
Sharon Hargus
Sharon Hargus is a linguist known for her descriptive and analytical work on Indigenous languages of North America, including Athabaskan languages such as Witsuwitʼen.
-
D.
Sharon Pintey
Sharon Pintey is a fictional character from the British film "Cashback," portrayed by actress Emilia Fox.
-
E.
Sharon McLonergan
Sharon McLonergan is a fictional character featured in the musical work "Look to the Rainbow."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.