Triple
T17324580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Merlin |
E420651
|
entity |
| Predicate | wroteWork |
P2831
|
FINISHED |
| Object |
Ainoko
Ainoko is a novel by American actor and author Jan Merlin, known for its dramatic exploration of identity and cultural conflict.
|
E1263015
|
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: Ainoko | Statement: [Jan Merlin, wroteWork, Ainoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ainoko Context triple: [Jan Merlin, wroteWork, Ainoko]
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
C.
Ōe
Ōe is a Japanese surname most prominently associated with Nobel Prize–winning author Kenzaburō Ōe and his son, composer Hikari Ōe.
-
D.
Narihira
Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
-
E.
Narihira
Narihira is a Japanese given name most famously borne by the Heian-period courtier and poet Ariwara no Narihira, celebrated as one of the Six Immortal Poets.
- 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: Ainoko Triple: [Jan Merlin, wroteWork, Ainoko]
Generated description
Ainoko is a novel by American actor and author Jan Merlin, known for its dramatic exploration of identity and cultural conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ainoko Target entity description: Ainoko is a novel by American actor and author Jan Merlin, known for its dramatic exploration of identity and cultural conflict.
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
C.
Ōe
Ōe is a Japanese surname most prominently associated with Nobel Prize–winning author Kenzaburō Ōe and his son, composer Hikari Ōe.
-
D.
Narihira
Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
-
E.
Narihira
Narihira is a Japanese given name most famously borne by the Heian-period courtier and poet Ariwara no Narihira, celebrated as one of the Six Immortal Poets.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d18e3081908ca15baa743abcd8 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4a6630819082998cf754e8361f |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018ccb69cc8190b89a1d8edd3987a0 |
completed | May 11, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018ea5b7b081908f638608f094ad29 |
completed | May 11, 2026, 8:09 a.m. |
Created at: April 10, 2026, 5:43 a.m.