Triple
T35074242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apparatus Sculptoris |
E1011965
|
entity |
| Predicate | sharesStarsWith |
P71316
|
FINISHED |
| Object | Sculptor |
—
|
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: Sculptor | Statement: [Apparatus Sculptoris, sharesStarsWith, Sculptor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesStarsWith Context triple: [Apparatus Sculptoris, sharesStarsWith, Sculptor]
-
A.
sharesCharacterWith
Indicates that two entities have at least one character (such as a letter, symbol, or glyph) in common.
-
B.
linkedStar
Indicates that one star is connected or associated with another star in a defined relationship or structure.
-
C.
sharesActorWith
chosen
Indicates that two entities are associated with at least one of the same actors (e.g., performers or participants) in common.
-
D.
starsReunited
Indicates that previously separated or former co-stars have come together again, such as reappearing or collaborating in a shared context.
-
E.
directorAlsoStarred
Indicates that the person who directed a work also acted or performed as a star in that same work.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:01 p.m.