Triple
T27050739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Threads (reprise) |
E684763
|
entity |
| Predicate | revisitsThemeOf |
P162502
|
FINISHED |
| Object | Common Threads |
—
|
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: Common Threads | Statement: [Common Threads (reprise), revisitsThemeOf, Common Threads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisitsThemeOf Context triple: [Common Threads (reprise), revisitsThemeOf, Common Threads]
-
A.
themeRevived
Indicates that an entity is brought back to life, restored, or reactivated as the central participant or focus of an event or action.
-
B.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
C.
undergoesTheme
Indicates that an entity experiences or is subjected to a process, event, or change described by another entity or action.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- F. None of above. chosen
Provenance (4 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f625402d808190be8279d895d2b27f |
completed | May 2, 2026, 4:24 p.m. |
Created at: April 27, 2026, 8:13 a.m.