Triple
T25093282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changez Chamchawala |
E628520
|
entity |
| Predicate | relationshipWithSaladinChamcha |
P176253
|
FINISHED |
| Object | estranged |
—
|
LITERAL 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: estranged | Statement: [Changez Chamchawala, relationshipWithSaladinChamcha, estranged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithSaladinChamcha Context triple: [Changez Chamchawala, relationshipWithSaladinChamcha, estranged]
-
A.
relationshipToSalim mawla Abi Hudhayfa
Indicates that the person has the relationship of being the client/freedman (mawla) of Abu Hudhayfa in relation to Salim.
-
B.
relationshipToAlauddinKhalji
Indicates the nature of a person or entity’s relationship or connection to Alauddin Khalji.
-
C.
MamlukCommander
Indicates that an entity serves as a military commander within the Mamluk political or military structure in relation to another entity or context.
-
D.
associatedSultan
Indicates that one entity is linked or connected to a particular sultan in some relevant context or relationship.
-
E.
relationToKhalidIbnAlWalid
Indicates a relationship or association that an entity has with Khalid ibn al-Walid.
- F. None of above. chosen
Provenance (4 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 18, 2026, 6:24 a.m.