Triple
T14962446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Rwanda |
E373094
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Naomi Geraghty |
E873549
|
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: Naomi Geraghty | Statement: [Hotel Rwanda, editedBy, Naomi Geraghty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Geraghty Context triple: [Hotel Rwanda, editedBy, Naomi Geraghty]
-
A.
Naomi Geraghty
chosen
Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
-
B.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
C.
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.
-
D.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
E.
Naomi Wallace
Naomi Wallace is an American playwright and screenwriter known for her politically charged, lyrically written works for stage and film.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cece6881908cd8c8fe41583bee |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e0ed148190bd357be922fe8319 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 2:40 a.m.