Triple
T8458813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Clarke |
E199987
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Daniel Grayson |
E199989
|
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: Daniel Grayson | Statement: [Amanda Clarke, loveInterest, Daniel Grayson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Grayson Context triple: [Amanda Clarke, loveInterest, Daniel Grayson]
-
A.
Daniel Grayson
chosen
Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
-
B.
Gary Harkness
Gary Harkness is the introspective college football player and narrator of Don DeLillo’s novel "End Zone," through whom themes of war, language, and existential anxiety are explored.
-
C.
Jerome Valeska
Jerome Valeska is a sadistic, anarchic criminal and proto-Joker figure in the TV series "Gotham," known for his maniacal laughter and chaotic schemes.
-
D.
Jeff "Joker" Moreau
Jeff "Joker" Moreau is the wisecracking, skilled pilot of the Normandy in the Mass Effect video game series.
-
E.
Guy Gardner
Guy Gardner is a brash and headstrong member of DC Comics' Green Lantern Corps, known for his bold personality and frequent clashes with both allies and enemies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49e036c8190abb50ca272266ca6 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6cf9368081909cad61cdf6156a0e |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:10 p.m.