Triple
T22689052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyson |
E560997
|
entity |
| Predicate | canBeShortFormOf |
P32259
|
FINISHED |
| Object | Tyrell |
—
|
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: Tyrell | Statement: [Tyson, canBeShortFormOf, Tyrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyrell Context triple: [Tyson, canBeShortFormOf, Tyrell]
-
A.
Tyrell
Tyrell is a character known for being the adopted child of Rome Howard in the television drama "A Million Little Things."
-
B.
Tyrell
chosen
Tyrell is a prominent noble house in the world of "Game of Thrones" and "A Song of Ice and Fire," known for its wealth, influence, and rule over the fertile Reach from its seat at Highgarden.
-
C.
Marto
Marto is a writer best known for contributing to the song "Young, Wild & Free."
-
D.
Marto
Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
-
E.
Antwan
Antwan is the egotistical, money-obsessed CEO and game publisher who serves as the main antagonist in the action-comedy film "Free Guy."
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.