Triple
T36207610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Zayd al-Saruji |
E1047441
|
entity |
| Predicate | hasCompanionInNarrative |
—
|
GENERATED |
| Object | al-Harith ibn Hammam |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionInNarrative Context triple: [Abu Zayd al-Saruji, hasCompanionInNarrative, al-Harith ibn Hammam]
-
A.
hasCompanionInText
Indicates that one entity is accompanied by or associated with another entity within the same textual context or passage.
-
B.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
C.
hasCompanionCase
Indicates that an entity is associated with another related case that accompanies or parallels it.
-
D.
hasAllyInStory
chosen
Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
-
E.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
- F. None of above.
Provenance (1 batch)
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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.