Triple
T7727037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Coffee |
E175155
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Royal Pains |
E279635
|
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: Royal Pains | Statement: [Claire Coffee, appearedIn, Royal Pains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Pains Context triple: [Claire Coffee, appearedIn, Royal Pains]
-
A.
Royal Pains
chosen
Royal Pains is an American comedy-drama television series about a concierge doctor serving wealthy clients in the Hamptons.
-
B.
Nip/Tuck
Nip/Tuck is an American television drama series that follows the personal and professional lives of two Miami plastic surgeons, known for its provocative themes and dark, character-driven storytelling.
-
C.
St. Elsewhere
St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
-
D.
Nurse Jackie
Nurse Jackie is an American dark comedy-drama television series that follows a brilliant but drug-addicted emergency room nurse navigating the chaos of work, family, and personal demons.
-
E.
Lie to Me
Lie to Me is an American crime drama television series centered on a deception expert who assists law enforcement by analyzing facial expressions and body language to detect lies.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70314abb88190a7eaa519bd7398c9 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b5275164819096678c019fdd4da4 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.