Triple
T8722705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventura |
E207049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Twilight |
E130285
|
NE FINISHED |
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: Twilight | Statement: [Ventura, hasPart, Twilight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twilight Context triple: [Ventura, hasPart, Twilight]
-
A.
Twilight
chosen
"Twilight" is a popular young adult vampire romance novel by Stephenie Meyer that follows the relationship between teenager Bella Swan and vampire Edward Cullen.
-
B.
Twilight
"Twilight" is a classic science fiction short story by John W. Campbell Jr. that explores themes of technological decay and the distant future of humanity.
-
C.
Twilight Time
"Twilight Time" is a classic 1958 pop ballad by The Platters, renowned for its smooth harmonies and romantic, atmospheric style.
-
D.
The Twilight Saga film series
The Twilight Saga film series is a collection of romantic fantasy movies based on Stephenie Meyer’s novels, chronicling the supernatural love story between human Bella Swan and vampire Edward Cullen.
-
E.
Twilight War
Twilight War is the term often used to describe the early, largely inactive phase of World War II in Europe, marked by minimal land operations despite the formal state of war.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.