Triple
T7975421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyric Street Records |
E185431
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object |
Marcel
Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
|
E703058
|
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: Marcel | Statement: [Lyric Street Records, signedArtist, Marcel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcel Context triple: [Lyric Street Records, signedArtist, Marcel]
-
A.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
-
B.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
C.
Maurice
Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
-
D.
Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
-
E.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
- 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: Marcel Triple: [Lyric Street Records, signedArtist, Marcel]
Generated description
Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcel Target entity description: Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
-
A.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
-
B.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
C.
Maurice
Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
-
D.
Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
-
E.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.