Triple
T13951606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Swanson |
E335539
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Queen Kelly |
E668612
|
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: Queen Kelly | Statement: [Gloria Swanson, notableWork, Queen Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Kelly Context triple: [Gloria Swanson, notableWork, Queen Kelly]
-
A.
Queen Kelly
chosen
Queen Kelly is a 1929 silent film directed by Erich von Stroheim, infamous for its troubled production and partial release, and noted for starring Gloria Swanson.
-
B.
Anne Kelly
Anne Kelly is the former wife of Joseph P. Kennedy II, a member of the prominent Kennedy political family.
-
C.
Molly Kelly
Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
-
D.
Autumn Kelly
Autumn Kelly is a Canadian-born former management consultant who became known for marrying Peter Phillips, the eldest grandchild of Queen Elizabeth II, and later for their high-profile separation.
-
E.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cea88081908c37836447410b97 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.