Triple
T10062205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaafar Tukan |
E213017
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tukan |
E500559
|
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: Tukan | Statement: [Jaafar Tukan, familyName, Tukan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tukan Context triple: [Jaafar Tukan, familyName, Tukan]
-
A.
Tukan
chosen
Tukan is an alternative transliteration of "Toukan," a surname most notably associated with a prominent Jordanian political family.
-
B.
Sucúa
Sucúa is a small town in the Amazonian region of Ecuador known for its lush rainforest surroundings and indigenous Shuar culture.
-
C.
Fuleco
Fuleco is the armadillo-themed official mascot of the 2014 FIFA World Cup in Brazil, designed to highlight Brazilian culture and environmental awareness.
-
D.
Tinamus
Tinamus is a genus of ground-dwelling tinamous, medium-sized Neotropical birds known for their secretive behavior and preference for dense forest habitats.
-
E.
Tuka
Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd3c6bc8190a21ed3566f9c08d1 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a717f008190907089e1acb32361 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:58 p.m.