Triple
T9797913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Saints in Three Acts |
E237761
|
entity |
| Predicate | firstMajorRunYear |
P90029
|
FINISHED |
| Object | 1934 |
—
|
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: 1934 | Statement: [Four Saints in Three Acts, firstMajorRunYear, 1934]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorRunYear Context triple: [Four Saints in Three Acts, firstMajorRunYear, 1934]
-
A.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
B.
firstMajorUseYear
Indicates the calendar year in which something was first put into major or primary use.
-
C.
firstMajorRallyYear
Indicates the calendar year in which an entity held its first significant rally or major organized gathering.
-
D.
firstMajorHitYear
Indicates the year in which an entity (typically an artist, creator, or performer) achieved its first major hit or breakthrough success.
-
E.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda6264160819080da4805b213753f |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:28 p.m.