Triple
T3428420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LVMH |
E72279
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Zenith
Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
|
E356406
|
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: Zenith | Statement: [LVMH, ownsBrand, Zenith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenith Context triple: [LVMH, ownsBrand, Zenith]
-
A.
Zeiger
Zeiger is the birth surname of famed American television and radio host Larry King.
-
B.
Ankeruhr
The Ankeruhr is an ornate Art Nouveau (Jugendstil) astronomical clock in Vienna, Austria, known for its moving historical figures that parade across its face at noon.
-
C.
Longines
Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
-
D.
Mercury Topaz
The Mercury Topaz is a compact front-wheel-drive sedan produced by Ford's Mercury division in the 1980s and early 1990s as the brand's counterpart to the Ford Tempo.
-
E.
Diesel (licensed watches)
Diesel (licensed watches) is a fashion watch line known for its bold, oversized, and industrial-inspired designs, produced under license by Fossil Group for the Diesel lifestyle brand.
- 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: Zenith Triple: [LVMH, ownsBrand, Zenith]
Generated description
Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zenith Target entity description: Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
-
A.
Zeiger
Zeiger is the birth surname of famed American television and radio host Larry King.
-
B.
Ankeruhr
The Ankeruhr is an ornate Art Nouveau (Jugendstil) astronomical clock in Vienna, Austria, known for its moving historical figures that parade across its face at noon.
-
C.
Longines
Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
-
D.
Mercury Topaz
The Mercury Topaz is a compact front-wheel-drive sedan produced by Ford's Mercury division in the 1980s and early 1990s as the brand's counterpart to the Ford Tempo.
-
E.
Diesel (licensed watches)
Diesel (licensed watches) is a fashion watch line known for its bold, oversized, and industrial-inspired designs, produced under license by Fossil Group for the Diesel lifestyle brand.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35546dfa0819081800009fbe8afe3 |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355cecc4c81908ecb5f83e89b4a00 |
completed | March 13, 2026, 12:09 a.m. |
Created at: March 8, 2026, 3:15 p.m.