Triple
T942343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rui Mateus |
E20333
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rui
Rui is a common Portuguese given name typically used for males.
|
E110963
|
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: Rui | Statement: [Rui Mateus, givenName, Rui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rui Context triple: [Rui Mateus, givenName, Rui]
-
A.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
B.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
C.
Rano Aroi
Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
-
D.
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.
-
E.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
- 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: Rui Triple: [Rui Mateus, givenName, Rui]
Generated description
Rui is a common Portuguese given name typically used for males.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rui Target entity description: Rui is a common Portuguese given name typically used for males.
-
A.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
B.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
C.
Rano Aroi
Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
-
D.
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.
-
E.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e585208190bf477bf78d162e84 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83365d590819085d8e92c1a69aa10 |
completed | March 4, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a834268c388190ac725f48be8f8ea6 |
completed | March 4, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:40 p.m.