Triple
T6296665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Flynn |
E141146
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Skyscraper 2 |
E105471
|
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: Skyscraper 2 | Statement: [Beau Flynn, notableWork, Skyscraper 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyscraper 2 Context triple: [Beau Flynn, notableWork, Skyscraper 2]
-
A.
Skyscraper (2018 film)
chosen
Skyscraper (2018 film) is an action thriller starring Dwayne Johnson as a former FBI agent who must rescue his family from a burning, high-tech megatall building in Hong Kong.
-
B.
Skyscraper
"Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
-
C.
Skyscraper Souls
Skyscraper Souls is a 1932 pre-Code drama film centered on the intertwined lives and ambitions of people working and living in a towering New York City skyscraper.
-
D.
Infinity Falls
Infinity Falls is a river rapids ride at SeaWorld Orlando known for its record-breaking drop and immersive rainforest theming.
-
E.
Tower 2
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.