Triple
T20385759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Grayson |
E497951
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sarek |
—
|
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: Sarek | Statement: [Amanda Grayson, spouse, Sarek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarek Context triple: [Amanda Grayson, spouse, Sarek]
-
A.
Sarek
chosen
Sarek is a prominent Vulcan ambassador in the Star Trek universe, best known as the logical and often emotionally reserved father of Spock.
-
B.
Arrakeen
Arrakeen is the principal city and political center on the desert planet Arrakis in Frank Herbert's Dune universe.
-
C.
Arreat
Arreat is a prominent mountainous region in the Diablo game universe, famed as the sacred homeland of the Barbarians and the site of the Worldstone.
-
D.
Khitomer
Khitomer is a significant planet in the Star Trek universe known as the site of pivotal diplomatic events and conflicts involving the Klingon Empire and the United Federation of Planets.
-
E.
Tarna
Tarna is a river in northern Hungary that serves as one of the tributaries feeding into the Zagyva River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790bcef481909453d19c846ab420 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.