Triple
T8781575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigeo Nagashima |
E208741
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object | Lotte Orions |
E168850
|
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: Lotte Orions | Statement: [Shigeo Nagashima, managedTeam, Lotte Orions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotte Orions Context triple: [Shigeo Nagashima, managedTeam, Lotte Orions]
-
A.
Lotte Orions
chosen
Lotte Orions was a Japanese professional baseball team in Nippon Professional Baseball, known as a predecessor to the Chiba Lotte Marines.
-
B.
Leona Samish
Leona Samish is the central character in Arthur Laurents and Richard Rodgers’ musical "Do I Hear a Waltz?", typically portrayed as a lonely American tourist in Venice searching for love and self-discovery.
-
C.
Odette Yustman
Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
-
D.
Orly Sud
Orly Sud is the former name of Orly 4, a terminal facility at Paris Orly Airport in France.
-
E.
Soo Levien
Soo Levien is the wife of American screenwriter, novelist, and producer David Levien.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f55b7b08190ab3e18cd634a144b |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.