Triple
T28105776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shot Turquoise Marilyn |
E710357
|
entity |
| Predicate | seriesMemberWith |
P123565
|
FINISHED |
| Object | Shot Red Marilyn |
—
|
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: Shot Red Marilyn | Statement: [Shot Turquoise Marilyn, seriesMemberWith, Shot Red Marilyn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesMemberWith Context triple: [Shot Turquoise Marilyn, seriesMemberWith, Shot Red Marilyn]
-
A.
seriesWith
chosen
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
-
B.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
C.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
D.
seriesRole
Indicates the specific role or function an entity has within a series or sequence of related items.
-
E.
seriesEntryType
Indicates the specific role or category that an item has within a series (e.g., main entry, supplemental entry, or related entry).
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 9:08 p.m.