Triple
T11568805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa George |
E274328
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Melissa George |
E274328
|
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 George | Statement: [Melissa George, name, Melissa George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa George Context triple: [Melissa George, name, Melissa George]
-
A.
Melissa George
chosen
Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
-
B.
Gillian Murphy
Gillian Murphy is a renowned American ballet dancer and longtime principal with American Ballet Theatre, celebrated for her powerful technique and dramatic artistry.
-
C.
Penelope Ann Miller
Penelope Ann Miller is an American actress known for her roles in films such as "Carlito's Way," "The Artist," and "Kindergarten Cop."
-
D.
Merritt Wever
Merritt Wever is an American actress known for her acclaimed roles in television series such as "Nurse Jackie," "Godless," and "Unbelievable," for which she has received multiple Emmy Awards.
-
E.
Melissa Hudson
Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef824898e48190abb18307aa917c0c |
completed | April 27, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:37 p.m.