Triple
T5193021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Young |
E117200
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Pres
Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
|
E502276
|
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: Pres | Statement: [Lester Young, nickname, Pres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pres Context triple: [Lester Young, nickname, Pres]
-
A.
Pre
Pre is the famous nickname of Steve Prefontaine, the iconic American middle- and long-distance runner known for his aggressive racing style and role in popularizing running in the 1970s.
-
B.
Ps
Ps is the standard abbreviation for Adobe Photoshop, a widely used professional image editing and graphic design software application.
-
C.
PS
PS (PostScript) is a page description language and vector graphics format commonly used for high-quality printing and document rendering.
-
D.
PS
PS is the commonly used abbreviation for the Finns Party, a nationalist and populist political party in Finland.
-
E.
PS
PS is the post-nominal abbreviation used in India to denote recipients of the Padma Shri, one of the country’s highest civilian honors.
- 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: Pres Triple: [Lester Young, nickname, Pres]
Generated description
Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pres Target entity description: Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
-
A.
Pre
Pre is the famous nickname of Steve Prefontaine, the iconic American middle- and long-distance runner known for his aggressive racing style and role in popularizing running in the 1970s.
-
B.
Ps
Ps is the standard abbreviation for Adobe Photoshop, a widely used professional image editing and graphic design software application.
-
C.
PS
PS (PostScript) is a page description language and vector graphics format commonly used for high-quality printing and document rendering.
-
D.
PS
PS is the commonly used abbreviation for the Finns Party, a nationalist and populist political party in Finland.
-
E.
PS
PS is the post-nominal abbreviation used in India to denote recipients of the Padma Shri, one of the country’s highest civilian honors.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5fc0c408190b4ad4b77e0045182 |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6b954c08190a353ebcfe829888a |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.