Triple
T7862480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmet Ali Birand |
E182530
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Kanal D |
E654076
|
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: Kanal D | Statement: [Mehmet Ali Birand, employer, Kanal D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanal D Context triple: [Mehmet Ali Birand, employer, Kanal D]
-
A.
Kanal D
chosen
Kanal D is a major Turkish television channel known for broadcasting popular series, entertainment programs, and news.
-
B.
Canal 13
Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
-
C.
Mashriq TV
Mashriq TV is a Pashto-language television channel known for broadcasting news, current affairs, and cultural programming to Pashto-speaking audiences.
-
D.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
E.
Estrella TV
Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b49a7288190ae6758647fb35ac9 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:53 p.m.