Triple
T23344504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mira |
E591819
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object | Mira B |
—
|
NE NERFINISHED |
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: Mira B | Statement: [Mira, hasCompanion, Mira B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mira B Context triple: [Mira, hasCompanion, Mira B]
-
A.
Mira
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
-
B.
Mira
Mira is a common given name shared by various notable individuals, including acclaimed Indian-American film director Mira Nair.
-
C.
Mira
Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
-
D.
Mira
chosen
Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
-
E.
Mira
Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198358fb8819094c74cfd53cbab44 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.