Triple
T14132731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin and the King of Thieves |
E350207
|
entity |
| Predicate | characterVoiced |
P13156
|
FINISHED |
| Object | Sa’luk |
E1082614
|
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: Sa’luk | Statement: [Aladdin and the King of Thieves, characterVoiced, Sa’luk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sa’luk Context triple: [Aladdin and the King of Thieves, characterVoiced, Sa’luk]
-
A.
Sa’luk
chosen
Sa’luk is a ruthless and treacherous member of the Forty Thieves who serves as the main villain in Disney’s animated film "Aladdin and the King of Thieves."
-
B.
Saarloq
Saarloq is a small coastal settlement in southern Greenland known for its remote location and traditional Greenlandic lifestyle.
-
C.
Saratak
Saratak is a rural village located in Armenia's Shirak Province.
-
D.
Sebkay
Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
-
E.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e485fc8190aad0cce445aaec1a |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 11:28 p.m.