Triple
T17884765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetworks |
E447172
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Claymore
Claymore is the codename of the central superhuman operative leading the covert action team in the comic book series "Wetworks."
|
E1294252
|
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: Claymore | Statement: [Wetworks, mainCharacter, Claymore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claymore Context triple: [Wetworks, mainCharacter, Claymore]
-
A.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
B.
Shiki
Shiki was the pen name of Masaoka Shiki, a pioneering Meiji-era Japanese poet and critic who modernized haiku and tanka.
-
C.
Hancate
Hancate is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
-
D.
Berserk
Berserk is a dark fantasy manga series by Kentaro Miura, renowned for its brutal medieval setting, complex characters, and intricate artwork.
-
E.
Ichama
Ichama is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as one of the communities in the Idoma-speaking region.
- 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: Claymore Triple: [Wetworks, mainCharacter, Claymore]
Generated description
Claymore is the codename of the central superhuman operative leading the covert action team in the comic book series "Wetworks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claymore Target entity description: Claymore is the codename of the central superhuman operative leading the covert action team in the comic book series "Wetworks."
-
A.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
B.
Shiki
Shiki was the pen name of Masaoka Shiki, a pioneering Meiji-era Japanese poet and critic who modernized haiku and tanka.
-
C.
Hancate
Hancate is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
-
D.
Berserk
Berserk is a dark fantasy manga series by Kentaro Miura, renowned for its brutal medieval setting, complex characters, and intricate artwork.
-
E.
Ichama
Ichama is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as one of the communities in the Idoma-speaking region.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c11530881908ad98fbd0a52b1c3 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d994208190a6023cd9ba0602db |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a0314a4fa748190a63ecda792b7669a |
completed | May 12, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0315a8d6e88190b6d532f22dd8088c |
completed | May 12, 2026, 11:57 a.m. |
Created at: April 10, 2026, 10:18 a.m.