Triple
T21699480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediaset |
E535616
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Taodue
Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
|
E1496966
|
NE FINISHED |
How this triple was built (4 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, owns, Taodue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taodue Context triple: [Mediaset, owns, Taodue]
-
A.
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.
-
B.
Todee
Todee is a district-level administrative area located within Montserrado County in Liberia.
-
C.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
D.
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.
-
E.
Tomtor
Tomtor is a remote rural settlement in Russia’s Sakha Republic, known for its extreme subarctic climate and proximity to the mysterious Lake Labynkyr.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Taodue Triple: [Mediaset, owns, Taodue]
Generated description
Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taodue Target entity description: Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
-
A.
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.
-
B.
Todee
Todee is a district-level administrative area located within Montserrado County in Liberia.
-
C.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
D.
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.
-
E.
Tomtor
Tomtor is a remote rural settlement in Russia’s Sakha Republic, known for its extreme subarctic climate and proximity to the mysterious Lake Labynkyr.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e2755708190afd098c5c673c1f0 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1f457fc48190a36c6cf8934fd5d3 |
completed | May 17, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fc13900819098ee66684dfdff95 |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:45 p.m.