Triple
T574465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGPLAN |
E13731
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
SPLASH
SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
|
E71961
|
NE FINISHED |
How this triple was built (4 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: [SIGPLAN, sponsor, SPLASH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPLASH Context triple: [SIGPLAN, sponsor, SPLASH]
-
A.
Splash
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.
A Loop
A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
-
C.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
-
D.
Limelight
Limelight is a 1952 drama film written, directed by, and starring Charlie Chaplin, in which he portrays a faded music-hall comedian who befriends and mentors a young ballerina.
-
E.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SPLASH Triple: [SIGPLAN, sponsor, SPLASH]
Generated description
SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SPLASH Target entity description: SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
-
A.
Splash
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.
A Loop
A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
-
C.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
-
D.
Limelight
Limelight is a 1952 drama film written, directed by, and starring Charlie Chaplin, in which he portrays a faded music-hall comedian who befriends and mentors a young ballerina.
-
E.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
- F. None of above. chosen
Provenance (5 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_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4c3df48190a886a8d3c633d417 |
completed | March 2, 2026, 3:09 a.m. |
| NEDg | Description generation | batch_69a4ffcad6e08190938018ade5bc5d67 |
completed | March 2, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5001de9c481909d43c001028c922c |
completed | March 2, 2026, 3:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.