Triple
T15246324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madan Mohan Malaviya |
E364390
|
entity |
| Predicate | yearOfPosthumousAward |
P117761
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Madan Mohan Malaviya, yearOfPosthumousAward, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfPosthumousAward Context triple: [Madan Mohan Malaviya, yearOfPosthumousAward, 2014]
-
A.
isPosthumousAwardRecipientOf
Indicates that an entity received an award that was granted after their death.
-
B.
posthumousAwardsRestoredInYear
Indicates that awards, previously revoked or unrecognized during a person’s lifetime, were officially reinstated or granted in a specified year after their death.
-
C.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
-
D.
posthumousAwardsSuspendedInYear
Indicates that any posthumous awards were suspended or not granted during a specified year.
-
E.
yearOfFame
Indicates the specific year in which an entity achieved fame or became widely recognized.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.