Triple
T4263290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Panzer |
E96154
|
entity |
| Predicate | wroteLyricsForSong |
P1360
|
FINISHED |
| Object |
“Sandra”
“Sandra” is a song with lyrics by American songwriter Marty Panzer, known for his emotive and narrative-driven pop compositions.
|
E425895
|
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: “Sandra” | Statement: [Marty Panzer, wroteLyricsForSong, “Sandra”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Sandra” Context triple: [Marty Panzer, wroteLyricsForSong, “Sandra”]
-
A.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
B.
Sandi
Sandi is a given name, typically a variant of Sandy, used for both males and females.
-
C.
Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
-
D.
Sarah Sands
Sarah Sands is a British journalist and editor best known for her leadership roles at major UK publications, including serving as editor of the London Evening Standard and later as editor of BBC Radio 4’s Today programme.
-
E.
Sandy Vee
Sandy Vee is a French record producer and songwriter known for crafting international pop and dance hits for artists such as Rihanna.
- 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: “Sandra” Triple: [Marty Panzer, wroteLyricsForSong, “Sandra”]
Generated description
“Sandra” is a song with lyrics by American songwriter Marty Panzer, known for his emotive and narrative-driven pop compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Sandra” Target entity description: “Sandra” is a song with lyrics by American songwriter Marty Panzer, known for his emotive and narrative-driven pop compositions.
-
A.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
B.
Sandi
Sandi is a given name, typically a variant of Sandy, used for both males and females.
-
C.
Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
-
D.
Sarah Sands
Sarah Sands is a British journalist and editor best known for her leadership roles at major UK publications, including serving as editor of the London Evening Standard and later as editor of BBC Radio 4’s Today programme.
-
E.
Sandy Vee
Sandy Vee is a French record producer and songwriter known for crafting international pop and dance hits for artists such as Rihanna.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78ffbf881909d59faae665abd36 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b89fe2b08190960a3deaceb75c85 |
completed | March 14, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8ddaa9c8190bc7dc46593cbb8cd |
completed | March 14, 2026, 7:37 p.m. |
Created at: March 12, 2026, 11:06 p.m.