Triple
T6469040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War of Elimination (1990) |
E142300
|
entity |
| Predicate | primaryActors |
P70647
|
FINISHED |
| Object | Lebanese Christian factions |
—
|
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: Lebanese Christian factions | Statement: [War of Elimination (1990), primaryActors, Lebanese Christian factions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryActors Context triple: [War of Elimination (1990), primaryActors, Lebanese Christian factions]
-
A.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
B.
majorActor
chosen
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
-
C.
primaryPeople
Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
-
D.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
E.
primaryActor
Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
- F. None of above.
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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a16272c81909313455002cd884d |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.