Triple
T8495168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Skulls |
E201079
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ned
Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
|
E737346
|
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: Ned | Statement: [The Book of Skulls, hasCharacter, Ned]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Context triple: [The Book of Skulls, hasCharacter, Ned]
-
A.
Ned
Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
-
B.
Ned
Ned is a common English diminutive form of the given name Edward.
-
C.
Ned Sparks
Ned Sparks was a Canadian-born character actor best known for his deadpan expression and sarcastic, gravelly-voiced comedic roles in early Hollywood films.
-
D.
Ned Doyle
Ned Doyle was a businessman best known for owning the American Basketball Association team the Miami Floridians.
-
E.
Ned Benson
Ned Benson is an American filmmaker and screenwriter best known for his work on character-driven dramas and for co-writing the Marvel film "Black Widow."
- 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: Ned Triple: [The Book of Skulls, hasCharacter, Ned]
Generated description
Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ned Target entity description: Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
-
A.
Ned
Ned is a common English diminutive form of the given name Edward.
-
B.
Ned
Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
-
C.
Ned Sparks
Ned Sparks was a Canadian-born character actor best known for his deadpan expression and sarcastic, gravelly-voiced comedic roles in early Hollywood films.
-
D.
Ned Doyle
Ned Doyle was a businessman best known for owning the American Basketball Association team the Miami Floridians.
-
E.
Ned Benson
Ned Benson is an American filmmaker and screenwriter best known for his work on character-driven dramas and for co-writing the Marvel film "Black Widow."
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a6117988190b8c667d4263f3e86 |
completed | April 2, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ce3d0323248190a076a209df98c96c |
completed | April 2, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3d7909f48190a46f58fca75d7740 |
completed | April 2, 2026, 9:57 a.m. |
Created at: March 30, 2026, 6:13 p.m.