Triple
T20475394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Swallow |
E502304
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Swallow
Swallow is a surname most notably associated with Steve Swallow, an influential American jazz bassist and composer.
|
E1433618
|
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: Swallow | Statement: [Steve Swallow, familyName, Swallow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swallow Context triple: [Steve Swallow, familyName, Swallow]
-
A.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
B.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
-
C.
Swallows
Swallows is a football club commonly known by this short name, referring to Mbabane Swallows F.C., one of Eswatini’s most prominent soccer teams.
-
D.
Swallows
The Swallows are a group of adventurous children who sail and camp in Arthur Ransome’s classic “Swallows and Amazons” series.
-
E.
The Swallow
The Swallow is the English title of Giacomo Puccini’s opera "La rondine," a lyrical work that blends elements of opera and operetta.
- 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: Swallow Triple: [Steve Swallow, familyName, Swallow]
Generated description
Swallow is a surname most notably associated with Steve Swallow, an influential American jazz bassist and composer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swallow Target entity description: Swallow is a surname most notably associated with Steve Swallow, an influential American jazz bassist and composer.
-
A.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
B.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
-
C.
Swallows
Swallows is a football club commonly known by this short name, referring to Mbabane Swallows F.C., one of Eswatini’s most prominent soccer teams.
-
D.
Swallows
The Swallows are a group of adventurous children who sail and camp in Arthur Ransome’s classic “Swallows and Amazons” series.
-
E.
The Swallow
The Swallow is the English title of Giacomo Puccini’s opera "La rondine," a lyrical work that blends elements of opera and operetta.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996464448190bdf9cf63c736d6dd |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b21152081908d3a32e688db2a48 |
completed | May 16, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_6a088d7015188190a3a8a7180c2d6723 |
completed | May 16, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089153d5a88190ab57db1d7cb787b6 |
completed | May 16, 2026, 3:46 p.m. |
Created at: April 16, 2026, 11:34 a.m.