Triple
T17856933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Hartke |
E445962
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Rey Robles |
—
|
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: Rey Robles | Statement: [Lauren Hartke, relationshipWith, Rey Robles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rey Robles Context triple: [Lauren Hartke, relationshipWith, Rey Robles]
-
A.
Rey Robles
chosen
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
-
B.
Rey Villalobos
Rey Villalobos is an American cinematographer known for his work on numerous films and television projects, including the comedy classic "9 to 5."
-
C.
Rudy Galindo
Rudy Galindo is an American figure skater best known for winning the 1996 U.S. national championship and for being one of the first openly gay champions in the sport.
-
D.
Felix Solis
Felix Solis is an American actor and director best known for his intense character roles in television dramas and crime series.
-
E.
Cris Abrego
Cris Abrego is an American television producer and executive best known for creating and overseeing numerous popular reality TV series.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978d05708190838386d37eb157bc |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.