Triple
T20418470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipstick on Your Collar |
E500777
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
George Goehring
George Goehring was an American songwriter best known for co-writing the 1950s rock and roll hit "Lipstick on Your Collar."
|
E1538083
|
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: George Goehring | Statement: [Lipstick on Your Collar, writer, George Goehring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Goehring Context triple: [Lipstick on Your Collar, writer, George Goehring]
-
A.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
B.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
C.
George Gebhardt
George Gebhardt was a German-born American silent film actor known for his frequent collaborations with director D. W. Griffith in early 20th-century cinema.
-
D.
George Weisgerber
George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
-
E.
Karl Nehring
Karl Nehring is an American writer and music critic known for his work on classical music and audio reviewing.
- 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: George Goehring Triple: [Lipstick on Your Collar, writer, George Goehring]
Generated description
George Goehring was an American songwriter best known for co-writing the 1950s rock and roll hit "Lipstick on Your Collar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Goehring Target entity description: George Goehring was an American songwriter best known for co-writing the 1950s rock and roll hit "Lipstick on Your Collar."
-
A.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
B.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
C.
George Gebhardt
George Gebhardt was a German-born American silent film actor known for his frequent collaborations with director D. W. Griffith in early 20th-century cinema.
-
D.
George Weisgerber
George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
-
E.
Karl Nehring
Karl Nehring is an American writer and music critic known for his work on classical music and audio reviewing.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c5343a88190b48e4beca0e779aa |
completed | May 18, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0b0ce561e88190b1cd82bb7786f296 |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d9ce0148190b0cda6c97b84d399 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 11:30 a.m.