Triple
T17817195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeb-un-Nissa Begum |
E444877
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Makhfi |
—
|
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: Makhfi | Statement: [Zeb-un-Nissa Begum, alsoKnownAs, Makhfi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makhfi Context triple: [Zeb-un-Nissa Begum, alsoKnownAs, Makhfi]
-
A.
Makhfi
chosen
Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
-
B.
Gizli El
Gizli El is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and moral themes in early 20th-century Turkey.
-
C.
The Hidden
The Hidden is a 1987 science fiction horror film about a parasitic alien criminal that possesses human bodies to continue its violent crime spree on Earth.
-
D.
Mentiri
Mentiri is a residential and administrative area in the Brunei-Muara District of Brunei, known for its housing estates and local community facilities.
-
E.
The Hidden One
The Hidden One is a prominent epithet of the ancient Egyptian god Amun, emphasizing his invisible, mysterious, and transcendent nature.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48880457c81908214741d6cd7a1ee |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.