Triple
T8182384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack Swain |
E191093
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Laughing Gas
Laughing Gas is a 1914 silent comedy film featuring Mack Swain in a humorous role involving the chaotic effects of nitrous oxide.
|
E716678
|
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: Laughing Gas | Statement: [Mack Swain, notableWork, Laughing Gas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laughing Gas Context triple: [Mack Swain, notableWork, Laughing Gas]
-
A.
Acetylene
"Acetylene" is a 2005 studio album by American alternative country/rock band The Walkabouts, noted for its dark, politically charged tone and atmospheric sound.
-
B.
Helium
Helium is a lightweight, educational implementation of the Haskell programming language designed to simplify learning and teaching functional programming.
-
C.
Oxy
Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
-
D.
Butane
Butane is a configuration transpiler used to define and generate Fedora CoreOS and related system configurations from human-readable YAML files.
-
E.
De Gas
De Gas is the family name of the French artist Auguste De Gas, associated with the lineage of the renowned painter Edgar Degas.
- 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: Laughing Gas Triple: [Mack Swain, notableWork, Laughing Gas]
Generated description
Laughing Gas is a 1914 silent comedy film featuring Mack Swain in a humorous role involving the chaotic effects of nitrous oxide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laughing Gas Target entity description: Laughing Gas is a 1914 silent comedy film featuring Mack Swain in a humorous role involving the chaotic effects of nitrous oxide.
-
A.
Acetylene
"Acetylene" is a 2005 studio album by American alternative country/rock band The Walkabouts, noted for its dark, politically charged tone and atmospheric sound.
-
B.
Helium
Helium is a lightweight, educational implementation of the Haskell programming language designed to simplify learning and teaching functional programming.
-
C.
Oxy
Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
-
D.
Butane
Butane is a configuration transpiler used to define and generate Fedora CoreOS and related system configurations from human-readable YAML files.
-
E.
De Gas
De Gas is the family name of the French artist Auguste De Gas, associated with the lineage of the renowned painter Edgar Degas.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf8e8f0c819096f449760ce0d240 |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc315132c8190bb0ad49232ccc3b8 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd87585148190a2d8b81ab352d123 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:40 p.m.