Triple
T1104837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Featured Actor in a Play |
E25464
|
entity |
| Predicate | firstAwardedForSeason |
P3873
|
FINISHED |
| Object | 1946–1947 Broadway season |
—
|
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: 1946–1947 Broadway season | Statement: [Best Featured Actor in a Play, firstAwardedForSeason, 1946–1947 Broadway season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAwardedForSeason Context triple: [Best Featured Actor in a Play, firstAwardedForSeason, 1946–1947 Broadway season]
-
A.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
B.
awardSeason
Indicates the period or context in which awards are given or recognized for achievements, typically within a specific field or industry.
-
C.
inauguralSeason
chosen
Indicates the first season in which an entity (such as a team, league, or event) officially began participating or operating.
-
D.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
E.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.