Triple
T21079134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Meets Dog |
E519313
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Methuen |
—
|
NE NERFINISHED |
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: Methuen | Statement: [Man Meets Dog, publisher, Methuen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Methuen Context triple: [Man Meets Dog, publisher, Methuen]
-
A.
Methuen
chosen
Methuen is a British publishing house known for producing academic, educational, and literary works.
-
B.
Methuen, Massachusetts
Methuen, Massachusetts is a small city in northeastern Massachusetts known for its historic mill buildings and suburban residential character within the Merrimack Valley region.
-
C.
Mellrichstadt
Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
-
D.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
E.
Willimansett
Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d939e08190a37d7b7cc1872ad5 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.