Triple
T30867198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usayd ibn Hudayr |
E786235
|
entity |
| Predicate | deathTimeRelative |
P175378
|
FINISHED |
| Object | during the caliphate of Umar ibn al-Khattab |
—
|
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: during the caliphate of Umar ibn al-Khattab | Statement: [Usayd ibn Hudayr, deathTimeRelative, during the caliphate of Umar ibn al-Khattab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathTimeRelative Context triple: [Usayd ibn Hudayr, deathTimeRelative, during the caliphate of Umar ibn al-Khattab]
-
A.
timeOfDeath
Indicates the specific time at which an entity (typically a person or organism) died.
-
B.
timeBeforeDeath
Indicates that the associated time value occurs prior to an entity’s death or moment of dying.
-
C.
killedAt
Indicates that a killing event occurred at a specific location or time associated with the entities involved.
-
D.
timeSinceSubjectDeath
Indicates the amount of time that has elapsed since the subject died.
-
E.
diesAfter
Indicates that one entity dies at a later time than another entity.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 29, 2026, 8:47 p.m.