Triple
T15064176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vow |
E379711
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melissa Kent |
E158471
|
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: Melissa Kent | Statement: [The Vow, editedBy, Melissa Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Kent Context triple: [The Vow, editedBy, Melissa Kent]
-
A.
Melissa Kent
chosen
Melissa Kent is a film editor known for her work on feature films such as the romantic comedy "Just Wright."
-
B.
Melissa Rivers
Melissa Rivers is an American television host, producer, and actress best known for her red carpet coverage and for continuing the comedic legacy of her mother, Joan Rivers.
-
C.
Jean Kent
Jean Kent was a British film and television actress best known for her work in 1940s and 1950s cinema, particularly in melodramas and crime dramas.
-
D.
Melissa Blake
Melissa Blake is a television writer and producer known for her work on series such as "Heroes" and "Ghost Whisperer."
-
E.
Faith Kent
Faith Kent is a British actress known for her work in film, television, and theatre, and as the mother of actress Phoebe Nicholls.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677b7be08190afc2767835836908 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 3:02 a.m.