Triple
T6320140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandra Shekhar Tiwari |
E141716
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Azad |
E136876
|
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: Azad | Statement: [Chandra Shekhar Tiwari, alsoKnownAs, Azad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azad Context triple: [Chandra Shekhar Tiwari, alsoKnownAs, Azad]
-
A.
Azad
chosen
Azad is the revolutionary alias of Chandrasekhar Azad, a prominent Indian freedom fighter who played a key role in the struggle against British colonial rule.
-
B.
Zafar
Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
-
C.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c4ed7c8190bd066dc7cd3d1329 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48485308190adc2208ad46faaa7 |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:29 p.m.