Triple
T965179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyakutake Yuji |
E20821
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yuji
Yuji is a common Japanese masculine given name used by various real and fictional individuals.
|
E175505
|
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: Yuji | Statement: [Hyakutake Yuji, givenName, Yuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuji Context triple: [Hyakutake Yuji, givenName, Yuji]
-
A.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
B.
Ushijima Mitsuru
Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
-
C.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
D.
Kintomo Mushakoji
Kintomo Mushakoji was a Japanese diplomat who served as a key representative of Japan’s government in the 1930s, notably involved in its alignment with Axis powers.
-
E.
Mako Mori
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
- 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: Yuji Triple: [Hyakutake Yuji, givenName, Yuji]
Generated description
Yuji is a common Japanese masculine given name used by various real and fictional individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuji Target entity description: Yuji is a common Japanese masculine given name used by various real and fictional individuals.
-
A.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
B.
Ushijima Mitsuru
Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
-
C.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
D.
Kintomo Mushakoji
Kintomo Mushakoji was a Japanese diplomat who served as a key representative of Japan’s government in the 1930s, notably involved in its alignment with Axis powers.
-
E.
Mako Mori
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad307c46988190bb4ba823ad313a88 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad312e77ac8190b931a42317f2cefa |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad3184853c8190953b288693ce6ea4 |
completed | March 8, 2026, 8:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.