Triple
T18380122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malory Archer |
E446419
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Ray Gillette |
—
|
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: Ray Gillette | Statement: [Malory Archer, hasRelationshipWith, Ray Gillette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Gillette Context triple: [Malory Archer, hasRelationshipWith, Ray Gillette]
-
A.
Ray Gillette
chosen
Ray Gillette is a supporting character in the animated TV series "Archer," known as the agency’s mild-mannered yet highly capable intelligence analyst and field agent.
-
B.
Gordon Jennings
Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
-
C.
Ray Fiske
Ray Fiske is a high-powered corporate attorney and key antagonist in the legal thriller TV series "Damages."
-
D.
Sidney Ganis
Sidney Ganis is an American film producer and former president of the Academy of Motion Picture Arts and Sciences known for his work on numerous Hollywood films.
-
E.
Willis Teitlebaum
Willis Teitlebaum is a central fictional character in the work "Downtown," around whom much of the story’s action and development revolves.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179aa328819097f5ed8193cfa401 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.