Triple
T3287419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephenie Meyer |
E69015
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Chemist
The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
|
E345539
|
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: The Chemist | Statement: [Stephenie Meyer, notableWork, The Chemist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Chemist Context triple: [Stephenie Meyer, notableWork, The Chemist]
-
A.
The Cauldron
The Cauldron is the famous nickname of Brisbane’s Suncorp Stadium, renowned for its intense atmosphere at rugby league and other major sporting events.
-
B.
The Cauldron
The Cauldron is the passionate main supporters’ group known for creating a loud, vibrant atmosphere at Sporting Kansas City matches.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
E.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
- 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: The Chemist Triple: [Stephenie Meyer, notableWork, The Chemist]
Generated description
The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Chemist Target entity description: The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
-
A.
The Cauldron
The Cauldron is the famous nickname of Brisbane’s Suncorp Stadium, renowned for its intense atmosphere at rugby league and other major sporting events.
-
B.
The Cauldron
The Cauldron is the passionate main supporters’ group known for creating a loud, vibrant atmosphere at Sporting Kansas City matches.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
E.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85f71508190b194b4d383d7ee32 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8d165488190bdb6c07257f7502a |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecfd3c20819089bc0b2141aee8eb |
completed | March 12, 2026, 4:42 p.m. |
Created at: March 8, 2026, 3:10 p.m.