Triple
T35009780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Institute (Fallout) |
E1009912
|
entity |
| Predicate | realNameOfLeader |
P181996
|
FINISHED |
| Object | Shaun |
—
|
NE NERFINISHED |
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: Shaun | Statement: [The Institute (Fallout), realNameOfLeader, Shaun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realNameOfLeader Context triple: [The Institute (Fallout), realNameOfLeader, Shaun]
-
A.
countryLeaderOf
Indicates that one entity serves as the head of state or government of the specified country.
-
B.
governmentLeader
Indicates that one entity serves as the primary political head or chief executive authority of the other entity (typically a state, region, or governmental body).
-
C.
nationalLeaderOf
Indicates that one entity serves as the head of state or government for another entity, typically a country or nation.
-
D.
originCountryLeader
Indicates that one entity is the political leader (e.g., head of state or government) of the country from which the other entity originates.
-
E.
declaredTitleOfLeader
Indicates that one entity is the officially stated or proclaimed title or position held by a leader 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.