Triple
T8697734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protoss |
E206442
|
entity |
| Predicate | militaryUnitType |
P6154
|
FINISHED |
| Object |
Colossus
Colossus is a towering Protoss war machine from the StarCraft universe, known for its long-range thermal lances that devastate clustered ground forces.
|
E750240
|
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: Colossus | Statement: [Protoss, militaryUnitType, Colossus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colossus Context triple: [Protoss, militaryUnitType, Colossus]
-
A.
Colossus
Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
-
B.
Colossus
Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
-
C.
Colossus computers
Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
-
D.
The Colossus
The Colossus is a poem by Sylvia Plath that reflects themes of grief, memory, and a daughter's struggle to reconstruct the overwhelming image of her dead father.
-
E.
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
- 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: Colossus Triple: [Protoss, militaryUnitType, Colossus]
Generated description
Colossus is a towering Protoss war machine from the StarCraft universe, known for its long-range thermal lances that devastate clustered ground forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colossus Target entity description: Colossus is a towering Protoss war machine from the StarCraft universe, known for its long-range thermal lances that devastate clustered ground forces.
-
A.
Colossus
Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
-
B.
Colossus
Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
-
C.
Colossus computers
Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
-
D.
The Colossus
The Colossus is a poem by Sylvia Plath that reflects themes of grief, memory, and a daughter's struggle to reconstruct the overwhelming image of her dead father.
-
E.
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58af50408190a3b81100a759795e |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef4060410819086f928bda95e0273 |
completed | April 2, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69cef5fe6e48819086186f44d078137d |
completed | April 2, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6aafad08190b983549727d7ac8a |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.