Triple
T16527624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rasool Pookutty |
E401480
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Shankar |
E202782
|
NE 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: Shankar | Statement: [Rasool Pookutty, notableCollaboration, Shankar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shankar Context triple: [Rasool Pookutty, notableCollaboration, Shankar]
-
A.
Shankar
chosen
Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
-
B.
Shankar
Shankar is the surname of the renowned musical family that includes legendary sitar virtuoso Ravi Shankar and his daughter, singer-songwriter Norah Jones.
-
C.
Shankar
Shankar is the pen name of Mani Shankar Mukherjee, a prominent Indian Bengali writer known for his novels, travelogues, and works often adapted into acclaimed films.
-
D.
Shankar
Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
-
E.
Ayushiridara
Ayushiridara was a 14th-century Mongol ruler of the Northern Yuan dynasty, known by his regnal name Biligtü Khan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.