Triple
T19982193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reservation Road |
E493843
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Naomi Geraghty |
—
|
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: Naomi Geraghty | Statement: [Reservation Road, editedBy, Naomi Geraghty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Geraghty Context triple: [Reservation Road, editedBy, Naomi Geraghty]
-
A.
Naomi Geraghty
chosen
Naomi Geraghty is a film and television editor known for her work on projects such as the series "Voyagers."
-
B.
Naomi Geraghty
Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
-
C.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
D.
Naomi Harper
Naomi Harper is a flirtatious, good-natured, and often comedic character from the American sitcom "Mama’s Family," known for being Vint Harper’s wife and a frequent source of humorous domestic squabbles.
-
E.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.