Triple
T4660200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Harpster |
E102509
|
entity |
| Predicate | writerFor |
P2831
|
FINISHED |
| Object | Pachinko |
E458043
|
NE FINISHED |
How this triple was built (2 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: Pachinko | Statement: [Noah Harpster, writerFor, Pachinko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pachinko Context triple: [Noah Harpster, writerFor, Pachinko]
-
A.
Pachinko
chosen
Pachinko is a critically acclaimed historical novel by Min Jin Lee that follows a Korean family across generations as they navigate life, discrimination, and identity in Japan during the 20th century.
-
B.
Lucky Lady
Lucky Lady is a 1975 American caper comedy film set during Prohibition, starring Gene Hackman, Liza Minnelli, and Burt Reynolds as rum-runners in Mexico.
-
C.
Tokyo Chiken
Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
-
D.
Le Tote
Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
-
E.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6328387c81909a500e694a739e6e |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be037c67108190bdae034832dc7b41 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.