Triple
T11726574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Cornwell |
E278785
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Scarpetta
Scarpetta is a crime novel by Patricia Cornwell featuring forensic pathologist Dr. Kay Scarpetta in a complex, forensic-driven investigation.
|
E943061
|
NE FINISHED |
How this triple was built (4 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: Scarpetta | Statement: [Patricia Cornwell, notableWork, Scarpetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarpetta Context triple: [Patricia Cornwell, notableWork, Scarpetta]
-
A.
Bones
"Bones" is a 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
-
B.
Bones
"Bones" is the official theme song used for WWE's WrestleMania 29 event.
-
C.
Bones
Bones is the widely recognized nickname of Jon Jones, the dominant American mixed martial artist and multiple-time UFC light heavyweight champion.
-
D.
Bones
Bones is the nickname of Dr. Leonard McCoy, the irascible yet compassionate chief medical officer aboard the starship Enterprise in the Star Trek franchise.
-
E.
Bones
Bones is a popular American crime procedural television series that blends forensic anthropology with FBI investigations, following Dr. Temperance Brennan and Agent Seeley Booth as they solve murders using skeletal evidence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scarpetta Triple: [Patricia Cornwell, notableWork, Scarpetta]
Generated description
Scarpetta is a crime novel by Patricia Cornwell featuring forensic pathologist Dr. Kay Scarpetta in a complex, forensic-driven investigation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scarpetta Target entity description: Scarpetta is a crime novel by Patricia Cornwell featuring forensic pathologist Dr. Kay Scarpetta in a complex, forensic-driven investigation.
-
A.
Bones
"Bones" is a 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
-
B.
Bones
"Bones" is the official theme song used for WWE's WrestleMania 29 event.
-
C.
Bones
Bones is the widely recognized nickname of Jon Jones, the dominant American mixed martial artist and multiple-time UFC light heavyweight champion.
-
D.
Bones
Bones is the nickname of Dr. Leonard McCoy, the irascible yet compassionate chief medical officer aboard the starship Enterprise in the Star Trek franchise.
-
E.
Bones
Bones is a popular American crime procedural television series that blends forensic anthropology with FBI investigations, following Dr. Temperance Brennan and Agent Seeley Booth as they solve murders using skeletal evidence.
- F. None of above. chosen
Provenance (5 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d70d908190b5f47c2ef501a191 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83e9efdc8190830f9b9cb5362b1c |
completed | April 27, 2026, 3:42 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:41 p.m.