Triple
T14710683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midnight Sun |
E345537
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
James
James is a sadistic tracker vampire and one of the primary antagonists in Stephenie Meyer’s Twilight Saga, particularly prominent in the novel "Twilight" and its companion "Midnight Sun."
|
E1117080
|
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: James | Statement: [Midnight Sun, featuresCharacter, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [Midnight Sun, featuresCharacter, James]
-
A.
John
John is the given name of John Galen Howard, a prominent American architect known for his influential work on the University of California, Berkeley campus.
-
B.
John
John is the given name of Sir John Copley, a titled individual likely known for his status and contributions within British society.
-
C.
John
John is the given name of John Gill Shorter, who served as the 17th Governor of Alabama during the American Civil War.
-
D.
John
John Alcock was a British aviator best known for making the first non-stop transatlantic flight in 1919 alongside Arthur Whitten Brown.
-
E.
John
John is the given name of John Adams, an American politician from Ohio.
- 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: James Triple: [Midnight Sun, featuresCharacter, James]
Generated description
James is a sadistic tracker vampire and one of the primary antagonists in Stephenie Meyer’s Twilight Saga, particularly prominent in the novel "Twilight" and its companion "Midnight Sun."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Target entity description: James is a sadistic tracker vampire and one of the primary antagonists in Stephenie Meyer’s Twilight Saga, particularly prominent in the novel "Twilight" and its companion "Midnight Sun."
-
A.
James
James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
-
B.
James
James is the middle name of American author Robert James Waller, best known for writing "The Bridges of Madison County."
-
C.
James
James is the middle name of the English poet and children's author Edward James Hughes, better known as Ted Hughes.
-
D.
James
James is a children's poet known for creating imaginative, engaging verse for young readers.
-
E.
James
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdffa3b03c819094692ec99e48c851 |
completed | May 8, 2026, 3:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfff147988190800d74b49bf6adf1 |
completed | May 8, 2026, 3:23 p.m. |
Created at: April 10, 2026, 1:28 a.m.