Triple
T20391372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron |
E498091
|
entity |
| Predicate | hasPhysicalFormOf |
P24432
|
FINISHED |
| Object | teenage girl |
—
|
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: teenage girl | Statement: [Cameron, hasPhysicalFormOf, teenage girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalFormOf Context triple: [Cameron, hasPhysicalFormOf, teenage girl]
-
A.
takesFormOf
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
B.
hasRealForm
Indicates that an abstract, conceptual, or non-physical entity is associated with a concrete, physical manifestation or embodiment.
-
C.
hasPhysicalMedium
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
-
D.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
-
E.
hasPhysicalNature
chosen
Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
- F. None of above.
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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.