Triple
T12901392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B’Elanna Torres |
E308619
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Miral Paris |
E1008154
|
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: Miral Paris | Statement: [B’Elanna Torres, child, Miral Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miral Paris Context triple: [B’Elanna Torres, child, Miral Paris]
-
A.
Miral Paris
chosen
Miral Paris is the half-human, half-Klingon daughter of Tom Paris and B'Elanna Torres in the Star Trek: Voyager universe.
-
B.
Miral
Miral is a 2010 drama film directed by Julian Schnabel that follows a young Palestinian woman growing up amid the Israeli–Palestinian conflict.
-
C.
Miral
Miral is an Abu Dhabi–based developer and operator of major leisure and entertainment destinations, including theme parks and attractions on Yas Island.
-
D.
Mirabella
Mirabella is a fashion and lifestyle magazine known for its focus on sophisticated style and culture.
-
E.
Bel Riose
Bel Riose is a brilliant and ambitious military commander in Isaac Asimov’s Foundation series, known for leading the last great campaign of the Galactic Empire against the Foundation.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af59f3cc81908c99bcde43e724e6 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:40 p.m.