Triple
T20929249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timeline (film) |
E515424
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Timeline (novel) |
—
|
NE NERFINISHED |
How this triple was built (2 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: Timeline (novel) | Statement: [Timeline (film), basedOn, Timeline (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timeline (novel) Context triple: [Timeline (film), basedOn, Timeline (novel)]
-
A.
Timeline (novel)
chosen
"Timeline" is a science fiction novel by Michael Crichton that follows a group of historians who travel back to medieval France using experimental quantum technology.
-
B.
Time (novel)
"Time" is a science fiction novel by Stephen Graham Jones that explores complex themes of temporality and human experience through a character-driven, speculative narrative.
-
C.
A Passage in Time
A Passage in Time is a compilation album by the ethereal and world music-influenced band Dead Can Dance, showcasing key tracks from their early career.
-
D.
Laws of Time
The Laws of Time are the strict temporal regulations in the Doctor Who universe that govern how Time Lords may interact with and alter history.
-
E.
Timet
Timet is a leading global producer and supplier of titanium metal products used primarily in aerospace, industrial, and military applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6545f8c81908a8c2f0e8d7b060e |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.