Triple
T20590573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney live-action comedies |
E505909
|
entity |
| Predicate | includesFilm |
P22734
|
FINISHED |
| Object | The Love Bug |
—
|
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: The Love Bug | Statement: [Disney live-action comedies, includesFilm, The Love Bug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Love Bug Context triple: [Disney live-action comedies, includesFilm, The Love Bug]
-
A.
Love Bug
Love Bug is a notorious computer worm from 2000 that spread rapidly via email by masquerading as a love letter and causing widespread damage to systems worldwide.
-
B.
The Love Bug (1968 film)
chosen
The Love Bug (1968 film) is a Disney live-action comedy about a sentient Volkswagen Beetle named Herbie that becomes a racing champion and launched the popular Herbie film franchise.
-
C.
The Grouchy Ladybug
The Grouchy Ladybug is a popular children's picture book by Eric Carle that follows a bad-tempered ladybug learning about manners and sharing over the course of a day.
-
D.
The Big Bug
The Big Bug is a film featuring Chinese actor Peng Yuchang in a prominent role.
-
E.
Ladybugs
Ladybugs is a 1992 sports comedy film in which Jonathan Brandis plays a boy who disguises himself as a girl to help a struggling girls' soccer team.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97aaf1c81908006ae7447f1f503 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.