Triple
T21699494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediaset |
E535616
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Taodue |
—
|
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: Taodue | Statement: [Mediaset, hasSubsidiary, Taodue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taodue Context triple: [Mediaset, hasSubsidiary, Taodue]
-
A.
Taodue
chosen
Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
-
B.
Taoyateduta
Taoyateduta, also known as Little Crow, was a prominent Dakota chief who played a leading role in the U.S.–Dakota War of 1862.
-
C.
Todee
Todee is a district-level administrative area located within Montserrado County in Liberia.
-
D.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
E.
Torae
Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7de9888190bbca7717a32f9888 |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.