Triple
T19854949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esprit |
E477105
|
entity |
| Predicate | brandNameStyle |
P14764
|
FINISHED |
| Object |
ESPRIT
ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
|
E1398006
|
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: ESPRIT | Statement: [Esprit, brandNameStyle, ESPRIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPRIT Context triple: [Esprit, brandNameStyle, ESPRIT]
-
A.
Spektrum
Spektrum is a large indoor arena and event venue in central Oslo, Norway, known for hosting concerts, sports events, and major shows.
-
B.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
C.
Eurosam
Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
-
D.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
E.
Sceptre
Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
- 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: ESPRIT Triple: [Esprit, brandNameStyle, ESPRIT]
Generated description
ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESPRIT Target entity description: ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
-
A.
Spektrum
Spektrum is a large indoor arena and event venue in central Oslo, Norway, known for hosting concerts, sports events, and major shows.
-
B.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
C.
Eurosam
Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
-
D.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
E.
Sceptre
Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d44364e8819082c2f9ac214106c9 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d4c5097881908ac419ffb3a639da |
completed | May 16, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d5302eb88190a838610910153459 |
completed | May 16, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:51 p.m.