Triple
T13510990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla–Kong MonsterVerse |
E321137
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Shimo
Shimo is a colossal ice-powered titan introduced as a new kaiju in the Godzilla–Kong MonsterVerse.
|
E1044048
|
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: Shimo | Statement: [Godzilla–Kong MonsterVerse, featuresCharacter, Shimo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimo Context triple: [Godzilla–Kong MonsterVerse, featuresCharacter, Shimo]
-
A.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
- 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: Shimo Triple: [Godzilla–Kong MonsterVerse, featuresCharacter, Shimo]
Generated description
Shimo is a colossal ice-powered titan introduced as a new kaiju in the Godzilla–Kong MonsterVerse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shimo Target entity description: Shimo is a colossal ice-powered titan introduced as a new kaiju in the Godzilla–Kong MonsterVerse.
-
A.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7556329648190be791afdd197b08c |
completed | May 3, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
Created at: April 9, 2026, 9:43 p.m.