Triple
T27166436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Male Debut |
E682791
|
entity |
| Predicate | notableDecadeOfProminence |
P85372
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Filmfare Award for Best Male Debut, notableDecadeOfProminence, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDecadeOfProminence Context triple: [Filmfare Award for Best Male Debut, notableDecadeOfProminence, 1990s]
-
A.
madeFamousInDecade
Indicates that something became widely known or gained significant public recognition during a specified decade.
-
B.
notablePopularityPeriod
Indicates the time span during which something was especially popular or widely recognized.
-
C.
associatedDecadeInPopCulture
chosen
Indicates the decade in popular culture with which an entity is most closely linked or commonly recognized.
-
D.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
E.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: April 27, 2026, 9:21 a.m.