Triple
T1501398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Seats |
E33802
|
entity |
| Predicate | locatedAt |
P40
|
FINISHED |
| Object | Green Monster |
E974
|
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: Green Monster | Statement: [Monster Seats, locatedAt, Green Monster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Monster Context triple: [Monster Seats, locatedAt, Green Monster]
-
A.
Green Monster
chosen
The Green Monster is the iconic, unusually tall left-field wall at Fenway Park, famous for dramatically influencing gameplay and home run hitting in Boston Red Sox baseball games.
-
B.
Bigloo
Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
-
C.
Wally the Green Monster
Wally the Green Monster is the furry green mascot of the Boston Red Sox, inspired by Fenway Park’s famous left-field wall, the Green Monster.
-
D.
Puckman
Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
-
E.
Hat Head
Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872e41848190b35b37f32aef784f |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb3c5908190b3d5fe7a4dcaa234 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 4, 2026, 7:24 p.m.