Triple
T6519073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tino Rossi |
E148333
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tchi-tchi |
E148333
|
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: Tchi-tchi | Statement: [Tino Rossi, notableWork, Tchi-tchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tchi-tchi Context triple: [Tino Rossi, notableWork, Tchi-tchi]
-
A.
Tchi-tchi
chosen
"Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
-
B.
Tiko
Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
-
C.
Chabi
Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
-
D.
Hu Tu Tu
Hu Tu Tu is a 1999 Hindi political drama film directed by Gulzar, known for its critique of corruption and power, featuring Tabu in a prominent role.
-
E.
Chigorodó
Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac11d0e481908103c4b51de9521e |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d51af5308190928c97ceb5d5fa2d |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:44 p.m.