Triple
T9905779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faheem Najm |
E185008
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Najm |
E561291
|
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: Najm | Statement: [Faheem Najm, familyName, Najm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najm Context triple: [Faheem Najm, familyName, Najm]
-
A.
Najm
chosen
Najm is a masculine given name of Arabic origin meaning "star," used across various Muslim-majority cultures.
-
B.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
C.
Moneer
Moneer is a given name, typically an alternative transliteration of the Arabic name Munir, meaning "bright" or "illuminating."
-
D.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
E.
Majid
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:40 p.m.