Triple
T5687894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulleh Shah |
E125356
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abdullah |
E112184
|
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: Abdullah | Statement: [Bulleh Shah, givenName, Abdullah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdullah Context triple: [Bulleh Shah, givenName, Abdullah]
-
A.
Abdullah
chosen
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Abdullah bin al-Husayn
Abdullah bin al-Husayn, better known as Abdullah I of Jordan, was the founding monarch of the Hashemite Kingdom of Jordan who ruled from its establishment in the mid-20th century until his assassination in 1951.
-
C.
Ali Zayn al-Abidin
Ali Zayn al-Abidin was the fourth Shia Imam, revered for his piety, scholarship, and foundational role in shaping early Shia theology and jurisprudence.
-
D.
Walid
Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
-
E.
Ali Abdul
Ali Abdul is a beloved supporting character in the Netflix series "Squid Game," portrayed as a kind-hearted Pakistani migrant worker who participates in the deadly competition.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023be18a081908c72fb5b0e1852f9 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a43cce88190b8ac801018f05561 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.