Triple
T32117277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned Leeds (MCU) |
E820271
|
entity |
| Predicate | hasMagicPotential |
P202397
|
FINISHED |
| Object | yes (implied in Spider-Man: No Way Home) |
—
|
LITERAL 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: yes (implied in Spider-Man: No Way Home) | Statement: [Ned Leeds (MCU), hasMagicPotential, yes (implied in Spider-Man: No Way Home)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagicPotential Context triple: [Ned Leeds (MCU), hasMagicPotential, yes (implied in Spider-Man: No Way Home)]
-
A.
hasLimitedMagic
Indicates that an entity possesses magical abilities that are restricted in scope, power, frequency, or conditions of use.
-
B.
hasAccessToMagic
Indicates that one entity is able to use, interact with, or benefit from magical powers, resources, or abilities associated with another entity or source.
-
C.
hasMagicItem
Indicates that an entity possesses or is associated with a magical item.
-
D.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
E.
usesMagicFor
Indicates that one entity employs or applies magic as a means to achieve, affect, or perform something involving another entity or context.
- F. None of above. chosen
Provenance (4 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0079e152648190a9da2add94fc1831 |
completed | May 10, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a0078f77f9c8190af357a6016a2bd53 |
completed | May 10, 2026, 12:24 p.m. |
| PDg | Predicate description generation | batch_6a0079e0a9688190a420759fafd47807 |
completed | May 10, 2026, 12:28 p.m. |
Created at: May 1, 2026, 12:28 a.m.