Triple
T19153441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan |
E468864
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dilan |
—
|
NE NERFINISHED |
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: Dilan | Statement: [Dylan, hasVariant, Dilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilan Context triple: [Dylan, hasVariant, Dilan]
-
A.
Dilan
chosen
Dilan is a given name shared by various individuals, including Dutch politician Dilan Yeşilgöz-Zegerius.
-
B.
Mohabbat
Mohabbat is a 1997 Hindi romantic drama film starring Sanjay Kapoor, Madhuri Dixit, and Akshay Khanna, known for its love triangle storyline and popular music.
-
C.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
-
D.
Kabeli
Kabeli is a small village located within Haljala Parish in northern Estonia.
-
E.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb7575c8190b52a9d2bde5ac288 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.