Triple
T21110191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabbar Patel |
E520150
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Simhasan |
—
|
NE NERFINISHED |
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: Simhasan | Statement: [Jabbar Patel, notableWork, Simhasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simhasan Context triple: [Jabbar Patel, notableWork, Simhasan]
-
A.
Śatruñjaya
Śatruñjaya is a major Jain pilgrimage hill in Gujarat, India, renowned for its dense cluster of exquisitely carved temples sacred to the Śvetāmbara Murtipujaka tradition.
-
B.
Mandhata
Mandhata is a legendary king of ancient India, celebrated in Hindu tradition as a powerful and virtuous ruler of the Solar dynasty.
-
C.
Sinhasan
chosen
Sinhasan is a critically acclaimed Marathi political drama film known for its hard-hitting portrayal of power struggles and corruption in Maharashtra’s political system.
-
D.
Taladhwaja
Taladhwaja is the ceremonial chariot dedicated to Lord Balabhadra in the famous Rath Yatra festival of Puri, Odisha.
-
E.
Pavamana
Pavamana is a Vedic deity associated with the purifying and sacred aspects of fire and ritual offerings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.