Triple
T9937015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maleficent |
E193983
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Diaval
Diaval is the loyal raven who serves as Maleficent’s shapeshifting companion and confidant in Disney’s "Maleficent" films.
|
E831345
|
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: Diaval | Statement: [Maleficent, featuresCharacter, Diaval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diaval Context triple: [Maleficent, featuresCharacter, Diaval]
-
A.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
-
B.
Rodach
The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
-
C.
Crowle
Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
-
D.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
-
E.
Dorohusk
Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
- 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: Diaval Triple: [Maleficent, featuresCharacter, Diaval]
Generated description
Diaval is the loyal raven who serves as Maleficent’s shapeshifting companion and confidant in Disney’s "Maleficent" films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diaval Target entity description: Diaval is the loyal raven who serves as Maleficent’s shapeshifting companion and confidant in Disney’s "Maleficent" films.
-
A.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
-
B.
Rodach
The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
-
C.
Crowle
Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
-
D.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
-
E.
Dorohusk
Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228e7247c81908dbba76199f2e93f |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22a2831348190909b9507edfe49f3 |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22af8914c8190a8116a37a42b633c |
completed | April 5, 2026, 9:27 a.m. |
Created at: March 30, 2026, 8:44 p.m.