Triple
T11936963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remain in Light |
E284069
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object |
M&Co
M&Co was a pioneering New York–based graphic design firm founded by Tibor Kalman, renowned for its influential, concept-driven work in branding, editorial, and album cover design.
|
E954904
|
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: M&Co | Statement: [Remain in Light, coverArtDesigner, M&Co]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M&Co Context triple: [Remain in Light, coverArtDesigner, M&Co]
-
A.
Pomellato
Pomellato is an Italian luxury jewelry brand renowned for its colorful gemstone designs and contemporary, handcrafted pieces.
-
B.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
-
C.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
D.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
E.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
- 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: M&Co Triple: [Remain in Light, coverArtDesigner, M&Co]
Generated description
M&Co was a pioneering New York–based graphic design firm founded by Tibor Kalman, renowned for its influential, concept-driven work in branding, editorial, and album cover design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M&Co Target entity description: M&Co was a pioneering New York–based graphic design firm founded by Tibor Kalman, renowned for its influential, concept-driven work in branding, editorial, and album cover design.
-
A.
Pomellato
Pomellato is an Italian luxury jewelry brand renowned for its colorful gemstone designs and contemporary, handcrafted pieces.
-
B.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
-
C.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
D.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
E.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4408d497c8190b051225140125e1f |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.