Triple
T16547126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destroy All Monsters |
E401970
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kumonga
Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
|
E1222462
|
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: Kumonga | Statement: [Destroy All Monsters, featuresCharacter, Kumonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumonga Context triple: [Destroy All Monsters, featuresCharacter, Kumonga]
-
A.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
B.
Manggalili
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
-
C.
Kingunda
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
-
D.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
E.
Koonch
Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
- 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: Kumonga Triple: [Destroy All Monsters, featuresCharacter, Kumonga]
Generated description
Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumonga Target entity description: Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
-
A.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
B.
Manggalili
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
-
C.
Kingunda
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
-
D.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
E.
Koonch
Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbe3fb48190bad143b50dc73c7e |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758f97708190a289da0bd5d5c254 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:15 a.m.