Triple
T16650824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovely Rita |
E404595
|
entity |
| Predicate | hasCharacterName |
P36851
|
FINISHED |
| Object | Rita |
E12279
|
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: Rita | Statement: [Lovely Rita, hasCharacterName, Rita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Context triple: [Lovely Rita, hasCharacterName, Rita]
-
A.
Rita
chosen
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
B.
Rita
Rita is a small islet in the Majuro Atoll of the Marshall Islands, known as part of the ring of islands surrounding Majuro Lagoon.
-
C.
Rita
Rita is a high-speed launched roller coaster at Alton Towers Resort in Staffordshire, England.
-
D.
Rita Gam
Rita Gam was an American film and television actress known for her work in the 1950s and 1960s, including roles in films such as "The Thief" and "King of Kings."
-
E.
Rita Malone
Rita Malone is a daring and resourceful boat captain and scavenger who co-stars as the street-smart heroine in the animated film "Flushed Away."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf6cfc481909b183348c407e046 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.