Triple
T14184776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilan |
E351544
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Dilan Markanday |
E351544
|
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: Dilan Markanday | Statement: [Dilan, hasNotableBearer, Dilan Markanday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilan Markanday Context triple: [Dilan, hasNotableBearer, Dilan Markanday]
-
A.
Dillon Mitra
Dillon Mitra is an actor known for his role in the culinary drama film "The Hundred-Foot Journey."
-
B.
Dilan
chosen
Dilan is a given name shared by various individuals, including Dutch politician Dilan Yeşilgöz-Zegerius.
-
C.
Rohan Chand
Rohan Chand is an American child actor best known for his lead role as Mowgli in the film "Mowgli: Legend of the Jungle" and appearances in movies like "Bad Words" and "Lone Survivor."
-
D.
Varun
Varun is an Indian politician and member of the Nehru–Gandhi family, known for his role in national politics and parliamentary representation.
-
E.
Vincent Kapoor
Vincent Kapoor is a fictional NASA official in Andy Weir’s science-fiction novel and its film adaptation "The Martian," responsible for overseeing the mission to rescue stranded astronaut Mark Watney.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.