Triple
T577814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splash |
E13794
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Splash |
E13794
|
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: Splash | Statement: [Splash, title, Splash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Splash Context triple: [Splash, title, Splash]
-
A.
Splash
chosen
Splash is a 1984 romantic comedy fantasy film directed by Ron Howard about a man who falls in love with a mermaid in New York City.
-
B.
Surfacing
Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
-
C.
Openwater
Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
-
D.
SPLASH
SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
-
E.
The Pool
The Pool is a serene, tree-lined pond in the northwest corner of Central Park known for its reflective waters and tranquil atmosphere.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b69fed88190b5558d4ebd5047a1 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bfb6408190bf7e1f462f39723d |
completed | March 2, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:33 p.m.