Triple
T17218150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waris Hussein |
E417904
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Waris |
E522492
|
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: Waris | Statement: [Waris Hussein, givenName, Waris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waris Context triple: [Waris Hussein, givenName, Waris]
-
A.
Waris
chosen
Waris is the given name of Waris Shah, the renowned 18th-century Punjabi Sufi poet best known for his epic romance "Heer Ranjha."
-
B.
Dugal
Dugal is a masculine given name of Scottish origin, closely related to and often considered a variant of the name Dugald.
-
C.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
D.
Cahil
Cahil is a variant spelling of the surname Cahill, which is of Irish origin.
-
E.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.