Triple
T9541743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagridae |
E230173
|
entity |
| Predicate | containsTaxon |
P9413
|
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: [Bagridae, containsTaxon, Rita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Context triple: [Bagridae, containsTaxon, 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 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."
-
C.
Rita May
Rita May is a song co-written by lyricist Jacques Levy, known for his collaborations with prominent rock and folk musicians in the 1970s.
-
D.
Nita
Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
-
E.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e82bb08190aed3ed0627923d22 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.