Triple
T2088937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiko Noda |
E32621
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Seiko
Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
|
E232515
|
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: Seiko | Statement: [Seiko Noda, givenName, Seiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiko Context triple: [Seiko Noda, givenName, Seiko]
-
A.
Longines
Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
-
B.
TAG Heuer
TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
-
C.
Rolex
Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
-
D.
Puma (licensed watches)
Puma (licensed watches) is a line of fashion and sports-inspired timepieces produced under license by Fossil Group for the global Puma lifestyle and athletic brand.
-
E.
Casio
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
- 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: Seiko Triple: [Seiko Noda, givenName, Seiko]
Generated description
Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seiko Target entity description: Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
-
A.
Longines
Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
-
B.
TAG Heuer
TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
-
C.
Rolex
Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
-
D.
Puma (licensed watches)
Puma (licensed watches) is a line of fashion and sports-inspired timepieces produced under license by Fossil Group for the global Puma lifestyle and athletic brand.
-
E.
Casio
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba730a5c8190a85be72149574d79 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2742834c8190ad9be71128959e0c |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae2bd9c41c819089f65019e2fb93ad |
completed | March 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2c61c3e08190a0ab44db0af9eb55 |
completed | March 9, 2026, 2:11 a.m. |
Created at: March 4, 2026, 7:43 p.m.