Triple
T1158430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boutros |
E24437
|
entity |
| Predicate | notableBearerRole |
P24124
|
FINISHED |
| Object | sixth Secretary-General of the United Nations |
—
|
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: sixth Secretary-General of the United Nations | Statement: [Boutros, notableBearerRole, sixth Secretary-General of the United Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBearerRole Context triple: [Boutros, notableBearerRole, sixth Secretary-General of the United Nations]
-
A.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
-
B.
notableHolderRole
chosen
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
C.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
D.
hasNotableBearerOccupation
Indicates that an entity is associated with a notable person who holds a specific occupation.
-
E.
hasNotableFieldOfBearers
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.