Triple
T11377660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haji Ali Shah Bukhari |
E269510
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Haji |
E504955
|
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: Haji | Statement: [Haji Ali Shah Bukhari, title, Haji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haji Context triple: [Haji Ali Shah Bukhari, title, Haji]
-
A.
Haji
chosen
Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
-
B.
Husan
Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
-
E.
Bakhawan
Bakhawan is a coastal barangay of the municipality of Daanbantayan in Cebu, Philippines.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55697b2388190929d7e0b15d809ba |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.