Triple
T7801440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moclus |
E180441
|
entity |
| Predicate | notableCharacterFrom |
P64828
|
FINISHED |
| Object | Topa |
E178773
|
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: Topa | Statement: [Moclus, notableCharacterFrom, Topa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topa Context triple: [Moclus, notableCharacterFrom, Topa]
-
A.
Topa
chosen
Topa is the Moclan child of Bortus and Klyden on the science-fiction television series "The Orville," whose life and identity become central to several of the show's cultural and ethical storylines.
-
B.
Chuncho
"Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
-
C.
Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
-
D.
Tuparí
Tuparí is an indigenous language of the Tuparí people in Brazil, belonging to the Tuparic subgroup of the Tupian language family.
-
E.
Baquero
Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a6185481908462079bd2827642 |
completed | March 30, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb142ba7788190a352a27cd57d1fdc |
completed | March 31, 2026, 12:24 a.m. |
Created at: March 30, 2026, 4:33 p.m.