Triple
T11172727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Room |
E264324
|
entity |
| Predicate | notableProductionYear |
P98247
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [The Blue Room, notableProductionYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProductionYear Context triple: [The Blue Room, notableProductionYear, 1998]
-
A.
notableWorkYear
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
B.
notableEditionYear
Indicates the year in which a particular edition of something (such as a work, product, or publication) is considered notable or significant.
-
C.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
D.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
E.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.