Triple
T106876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Room |
E2156
|
entity |
| Predicate | chronologyPreviousSingle |
P97
|
FINISHED |
| Object | Number One |
—
|
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: Number One | Statement: [Save Room, chronologyPreviousSingle, Number One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyPreviousSingle Context triple: [Save Room, chronologyPreviousSingle, Number One]
-
A.
hasHistoricalPrecursor
Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
-
B.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
retrocededTo
Indicates that control, ownership, or rights over something were returned or transferred back from one entity to another.
-
D.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
E.
precedentFor
Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563d33788190999d471b486d5603 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.