Triple
T4330521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (2019 film) |
E96736
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dalia
Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
|
E430802
|
NE FINISHED |
How this triple was built (4 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: Dalia | Statement: [Aladdin (2019 film), mainCharacter, Dalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalia Context triple: [Aladdin (2019 film), mainCharacter, Dalia]
-
A.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
B.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
C.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalia Triple: [Aladdin (2019 film), mainCharacter, Dalia]
Generated description
Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalia Target entity description: Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
-
A.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
B.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
C.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b5d1614b008190bc98fac7b1029456 |
completed | March 14, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d1c2f77c8190942be9d23c2c9f6b |
completed | March 14, 2026, 9:23 p.m. |
Created at: March 12, 2026, 11:13 p.m.