Triple
T28238828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamna bint Jahsh |
E711960
|
entity |
| Predicate | maternalUncleKilledAtUhud |
P168619
|
FINISHED |
| Object | Hamza ibn Abd al-Muttalib |
—
|
NE NERFINISHED |
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: Hamza ibn Abd al-Muttalib | Statement: [Hamna bint Jahsh, maternalUncleKilledAtUhud, Hamza ibn Abd al-Muttalib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maternalUncleKilledAtUhud Context triple: [Hamna bint Jahsh, maternalUncleKilledAtUhud, Hamza ibn Abd al-Muttalib]
-
A.
brotherKilledAtUhud
Indicates that one entity’s brother was killed in the Battle of Uhud.
-
B.
husbandKilledAtUhud
Indicates that a woman's husband was killed in the Battle of Uhud.
-
C.
brothersKilledBy
Indicates that the referenced individuals are brothers who were killed by the same agent or in the same event.
-
D.
killedFamilyOf
Indicates that one entity caused the death of one or more members of another entity’s family.
-
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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 10:56 p.m.