Triple
T34393189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelina Jolie as Lola |
E882761
|
entity |
| Predicate | studioBrand |
P171049
|
FINISHED |
| Object | DreamWorks Animation SKG |
—
|
NE NERFINISHED |
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: DreamWorks Animation SKG | Statement: [Angelina Jolie as Lola, studioBrand, DreamWorks Animation SKG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studioBrand Context triple: [Angelina Jolie as Lola, studioBrand, DreamWorks Animation SKG]
-
A.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
-
B.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
C.
studioSerialBrand
chosen
Indicates that a studio is associated with a particular serial brand under which its productions are released or marketed.
-
D.
brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
-
E.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:59 a.m.