Triple
T9026526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resident Evil 4 |
E216059
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
Zeebo
Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
|
E773911
|
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: Zeebo | Statement: [Resident Evil 4, platform, Zeebo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeebo Context triple: [Resident Evil 4, platform, Zeebo]
-
A.
Zeeb
Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
-
B.
Zeeba
Zeeba is a Brazilian singer-songwriter and producer best known for his vocal collaborations on international electronic dance music hits.
-
C.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
-
D.
Zebop!
Zebop! is a 1981 rock album by Santana that blends Latin, rock, and pop influences and features the hit single "Winning."
-
E.
Z-Bo
Z-Bo is the nickname of Zach Randolph, a former NBA All-Star power forward best known for his rugged low-post scoring and rebounding, particularly with the Memphis Grizzlies.
- 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: Zeebo Triple: [Resident Evil 4, platform, Zeebo]
Generated description
Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeebo Target entity description: Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
-
A.
Zeeb
Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
-
B.
Zeeba
Zeeba is a Brazilian singer-songwriter and producer best known for his vocal collaborations on international electronic dance music hits.
-
C.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
-
D.
Zebop!
Zebop! is a 1981 rock album by Santana that blends Latin, rock, and pop influences and features the hit single "Winning."
-
E.
Z-Bo
Z-Bo is the nickname of Zach Randolph, a former NBA All-Star power forward best known for his rugged low-post scoring and rebounding, particularly with the Memphis Grizzlies.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdd3117c881908645b6526537571a |
completed | April 3, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe10917188190b0223b14e7a8ed39 |
completed | April 3, 2026, 3:47 p.m. |
Created at: March 30, 2026, 7:07 p.m.