Triple
T17506562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penner |
E426331
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Robert Penner
Robert Penner is a software developer and author best known for creating the widely used easing equations that revolutionized motion and animation in user interfaces and web development.
|
E1274873
|
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: Robert Penner | Statement: [Penner, usedBy, Robert Penner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Penner Context triple: [Penner, usedBy, Robert Penner]
-
A.
Mike Penner
Mike Penner was an American sportswriter for the Los Angeles Times who later transitioned and wrote under the name Christine Daniels.
-
B.
Bill Cayton
Bill Cayton was an American boxing manager and promoter best known for co-managing heavyweight champion Mike Tyson during the early part of his professional career.
-
C.
Michael Hurd
Michael Hurd is a British composer and musicologist best known for his choral works, educational music, and accessible compositions for amateur performers.
-
D.
Steve Patten
Steve Patten is an individual notable enough to be specifically cited as a bearer of the surname Patten.
-
E.
Jeffrey Penner
Jeffrey Penner is an individual associated with the use or authorship of the work or tool referred to as "Penner."
- 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: Robert Penner Triple: [Penner, usedBy, Robert Penner]
Generated description
Robert Penner is a software developer and author best known for creating the widely used easing equations that revolutionized motion and animation in user interfaces and web development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Penner Target entity description: Robert Penner is a software developer and author best known for creating the widely used easing equations that revolutionized motion and animation in user interfaces and web development.
-
A.
Mike Penner
Mike Penner was an American sportswriter for the Los Angeles Times who later transitioned and wrote under the name Christine Daniels.
-
B.
Bill Cayton
Bill Cayton was an American boxing manager and promoter best known for co-managing heavyweight champion Mike Tyson during the early part of his professional career.
-
C.
Michael Hurd
Michael Hurd is a British composer and musicologist best known for his choral works, educational music, and accessible compositions for amateur performers.
-
D.
Steve Patten
Steve Patten is an individual notable enough to be specifically cited as a bearer of the surname Patten.
-
E.
Jeffrey Penner
Jeffrey Penner is an individual associated with the use or authorship of the work or tool referred to as "Penner."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45258b73c81909db581d4f1d27921 |
completed | April 19, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d2821b28819088866d20f849bb78 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d597c96c8190a5eca56a748da50c |
completed | May 11, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d639c220819088dd3389d1ab60ca |
completed | May 11, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:48 a.m.