Triple
T8934308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brice Morrow |
E212738
|
entity |
| Predicate | ringName |
P20821
|
FINISHED |
| Object |
Kamaitachi
Kamaitachi is the former ring name of professional wrestler Brice Morrow, used during his career in Japanese promotions.
|
E767710
|
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: Kamaitachi | Statement: [Brice Morrow, ringName, Kamaitachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamaitachi Context triple: [Brice Morrow, ringName, Kamaitachi]
-
A.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
B.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
C.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
D.
Toyabungkah
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
-
E.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
- 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: Kamaitachi Triple: [Brice Morrow, ringName, Kamaitachi]
Generated description
Kamaitachi is the former ring name of professional wrestler Brice Morrow, used during his career in Japanese promotions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamaitachi Target entity description: Kamaitachi is the former ring name of professional wrestler Brice Morrow, used during his career in Japanese promotions.
-
A.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
B.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
C.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
D.
Toyabungkah
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
-
E.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc669138b48190a6bb4968f029a69e |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1ddac548190bf520321dd35de1c |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc26e039881909f623ba5b1b7f7e1 |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc350afc08190a17c61041d6d8193 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:57 p.m.