Triple
T5712718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dummy Boy |
E125946
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | TATI |
E125941
|
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: TATI | Statement: [Dummy Boy, hasTrack, TATI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TATI Context triple: [Dummy Boy, hasTrack, TATI]
-
A.
Tati
chosen
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
B.
Tous
Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
-
C.
Tchi-tchi
"Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
-
D.
Ratonneau
Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
-
E.
Ratapoil
Ratapoil is a satirical character created by French artist Honoré Daumier, embodying the cynical, manipulative political agent of mid-19th-century France.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b386a08190bd2738d93861edc2 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a74b350819099d8881ef248e1e7 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:46 p.m.