Triple
T32164166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Roberts as Julianne Potter |
E821511
|
entity |
| Predicate | alsoKnownAsInStory |
P39
|
FINISHED |
| Object | Jules |
—
|
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: Jules | Statement: [Julia Roberts as Julianne Potter, alsoKnownAsInStory, Jules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoKnownAsInStory Context triple: [Julia Roberts as Julianne Potter, alsoKnownAsInStory, Jules]
-
A.
alsoKnownAs
chosen
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
B.
isPartlyKnownAs
Indicates that an entity is known by a particular name or label in some, but not all, contexts or sources.
-
C.
protagonistAlsoKnownAs
Indicates that an entity serving as a protagonist is alternatively referred to by another name or alias.
-
D.
alsoKnownAsRealAuthor
Indicates that an entity is an alternative or alias name identifying the same individual who is the actual (real) author of a work.
-
E.
knownForStoryline
Indicates that an entity is recognized or notable specifically for its narrative or storyline.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1e9d5c81908ba549e95fca3c93 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.