Triple
T4330524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (2019 film) |
E96736
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Abu |
E347352
|
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: Abu | Statement: [Aladdin (2019 film), mainCharacter, Abu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Context triple: [Aladdin (2019 film), mainCharacter, Abu]
-
A.
Abu
chosen
Abu is Aladdin’s mischievous and loyal monkey sidekick in Disney’s animated Aladdin franchise.
-
B.
Abu Tig
Abu Tig is a city in Egypt’s Asyut Governorate, known as a local urban and commercial center in Upper Egypt.
-
C.
Abu Arish
Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
-
D.
Abu Futaira
Abu Futaira is a modern residential district in Kuwait known for its planned housing and location within the expanding suburbs of Kuwait City.
-
E.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.