Triple
T21717492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skippy |
E536066
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Enid Bennett |
—
|
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: Enid Bennett | Statement: [Skippy, stars, Enid Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enid Bennett Context triple: [Skippy, stars, Enid Bennett]
-
A.
Enid Bennett
chosen
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
B.
Marjorie Bennett
Marjorie Bennett was an Australian-born character actress known for her numerous supporting roles in Hollywood films and television from the silent era through the mid-20th century.
-
C.
Enid Lamont
Enid Lamont was the wife of Academy Award–winning British-American actor Victor McLaglen.
-
D.
Muriel Roberts
Muriel Roberts was the mother of former UK Prime Minister Margaret Thatcher and a member of the Thatcher family.
-
E.
Shirley Bennett
Shirley Bennett is a devout, motherly yet strong-willed member of the Greendale study group on the sitcom "Community," known for her Christian faith, entrepreneurial ambitions, and occasional bursts of righteous anger.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.