Triple
T22873247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Fears Death |
E567254
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Najeeba |
—
|
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: Najeeba | Statement: [Who Fears Death, character, Najeeba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najeeba Context triple: [Who Fears Death, character, Najeeba]
-
A.
Najeeba
chosen
Najeeba is an Arabic female given name, typically meaning "noble," "distinguished," or "of high character."
-
B.
Bilqas
Bilqas is a town in Egypt located within the Dakahlia Governorate in the Nile Delta region.
-
C.
Naseem
Naseem is an Indian art-house film directed by Saeed Akhtar Mirza that poignantly portrays the rising communal tensions in Bombay leading up to the Babri Masjid demolition.
-
D.
Naseem
Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
-
E.
Khairahani
Khairahani is a notable town in Nepal’s Chitwan District, recognized as a growing local center for agriculture, trade, and community life in the region.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f55c4b88190adb49871e496ca54 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:38 p.m.