Triple
T15409203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toie Roberts |
E368538
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Toie
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
|
E1164161
|
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: Toie | Statement: [Toie Roberts, givenName, Toie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toie Context triple: [Toie Roberts, givenName, Toie]
-
A.
Konami
Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
-
B.
Capcom
Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
-
C.
Nippon Koei
Nippon Koei is a major Japanese engineering consulting firm known for its infrastructure and civil engineering projects worldwide.
-
D.
CAPCOM
CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
-
E.
Jaleco
Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
- 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: Toie Triple: [Toie Roberts, givenName, Toie]
Generated description
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toie Target entity description: Toie is a given name, often used as a short or informal form of the name Toie Roberts.
-
A.
Konami
Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
-
B.
Capcom
Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
-
C.
Nippon Koei
Nippon Koei is a major Japanese engineering consulting firm known for its infrastructure and civil engineering projects worldwide.
-
D.
CAPCOM
CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
-
E.
Jaleco
Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4546959081909f94449c0028ca3e |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff49541fcc8190a1d22721bc255e19 |
completed | May 9, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff49f6db508190b0127a59d332512e |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 10, 2026, 3:20 a.m.