Triple
T17360488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air |
E422054
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Talkie Walkie |
E462727
|
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: Talkie Walkie | Statement: [Air, notableWork, Talkie Walkie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talkie Walkie Context triple: [Air, notableWork, Talkie Walkie]
-
A.
Walkie-Talkie
chosen
Walkie-Talkie is a distinctive, top-heavy skyscraper in London known for its curved glass design and prominent presence in the city’s skyline.
-
B.
Walky Talky Hawky
Walky Talky Hawky is a 1946 Warner Bros. Merrie Melodies cartoon short that introduced the character Foghorn Leghorn.
-
C.
Walking and Talking
Walking and Talking is a 1996 indie romantic comedy-drama film that follows the evolving friendship and romantic misadventures of two women in New York City.
-
D.
The Chatterbox
"The Chatterbox" is a film best known for featuring American comic actress Polly Moran in one of her notable screen roles.
-
E.
Squelch
Squelch is a sideshow strongman and henchman character in Andrew Lloyd Webber’s musical "Love Never Dies," serving as one of the eerie performers at Coney Island.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.