Triple
T6943103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mikado |
E160725
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Nanki-Poo
Nanki-Poo is the romantic tenor hero and disguised son of the Mikado in Gilbert and Sullivan’s comic opera "The Mikado."
|
E631562
|
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: Nanki-Poo | Statement: [The Mikado, hasCharacter, Nanki-Poo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanki-Poo Context triple: [The Mikado, hasCharacter, Nanki-Poo]
-
A.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
B.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
C.
Shobijin
Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
-
D.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
E.
Hamachō
Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
- 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: Nanki-Poo Triple: [The Mikado, hasCharacter, Nanki-Poo]
Generated description
Nanki-Poo is the romantic tenor hero and disguised son of the Mikado in Gilbert and Sullivan’s comic opera "The Mikado."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanki-Poo Target entity description: Nanki-Poo is the romantic tenor hero and disguised son of the Mikado in Gilbert and Sullivan’s comic opera "The Mikado."
-
A.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
B.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
C.
Shobijin
Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
-
D.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
E.
Hamachō
Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da876c9c8190996f3ff84858e8d1 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75866a2408190b472fdad73a8799b |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c75a9485508190b65bb9447b0e3f69 |
completed | March 28, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75b0ec4088190a492faea485dd7d1 |
completed | March 28, 2026, 4:37 a.m. |
Created at: March 27, 2026, 2:28 p.m.