Triple
T25047208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manaf Tlass |
E627274
|
entity |
| Predicate | fatherAllegiance |
P157575
|
FINISHED |
| Object | Hafez al-Assad |
E33520
|
NE 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: Hafez al-Assad | Statement: [Manaf Tlass, fatherAllegiance, Hafez al-Assad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherAllegiance Context triple: [Manaf Tlass, fatherAllegiance, Hafez al-Assad]
-
A.
fatherAffiliation
Indicates that there is an affiliation or organizational association involving a person's father.
-
B.
fatherNationality
Indicates that the relationship specifies the nationality of a person's father.
-
C.
fatherland
Indicates a relationship in which a country or nation is regarded as one’s native land, homeland, or place of national origin and allegiance.
-
D.
hadAllegiance
Indicates that an entity was loyally committed or formally bound in support or service to another entity, such as a person, group, or cause.
-
E.
alliedFamily
Indicates that two families or family groups are connected through an alliance, cooperation, or mutual support relationship.
- F. None of above. chosen
Provenance (5 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4549ce65c8190a32886f7354ade7a |
completed | May 1, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105ce48f4c81908bfbe1e15b9e59c2 |
completed | May 22, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:08 a.m.