Triple
T9421084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maulik |
E227151
|
entity |
| Predicate | hasOrthographicVariant |
P457
|
FINISHED |
| Object | Moulik |
E227151
|
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: Moulik | Statement: [Maulik, hasOrthographicVariant, Moulik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulik Context triple: [Maulik, hasOrthographicVariant, Moulik]
-
A.
Maulik
chosen
Maulik is a given name, commonly used in South Asian contexts, that serves as a variant form of the name Malik.
-
B.
Murasoli
Murasoli is the official Tamil-language newspaper and party organ of the Dravida Munnetra Kazhagam (DMK) in Tamil Nadu, India.
-
C.
Vivek
Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
-
D.
Munna
Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
-
E.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2528c8819087b0a21e703254b7 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c95c9481909957b99cacf5e045 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.