Triple
T8495170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Skulls |
E201079
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Tim
Tim is a fictional character from Robert Silverberg’s science fiction novel "The Book of Skulls," one of the four college students who seek an ancient order promising immortality at a terrible price.
|
E737348
|
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: Tim | Statement: [The Book of Skulls, hasCharacter, Tim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Context triple: [The Book of Skulls, hasCharacter, Tim]
-
A.
Tim
Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
-
B.
Tim
Tim is a fictional character portrayed by American actor Matt Bomer.
-
C.
Tim
Tim is a critically acclaimed 1985 studio album by American rock band The Replacements, often regarded as one of their defining releases in alternative rock.
-
D.
Tim
Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
-
E.
Tom
Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
- 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: Tim Triple: [The Book of Skulls, hasCharacter, Tim]
Generated description
Tim is a fictional character from Robert Silverberg’s science fiction novel "The Book of Skulls," one of the four college students who seek an ancient order promising immortality at a terrible price.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Target entity description: Tim is a fictional character from Robert Silverberg’s science fiction novel "The Book of Skulls," one of the four college students who seek an ancient order promising immortality at a terrible price.
-
A.
Tim
Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
-
B.
Tim
Tim is a fictional character portrayed by American actor Matt Bomer.
-
C.
Tim
Tim is a critically acclaimed 1985 studio album by American rock band The Replacements, often regarded as one of their defining releases in alternative rock.
-
D.
Tim
Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
-
E.
Tom
Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
- 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.