Triple
T22541221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Must Love Dogs |
E557292
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Trudy Ship |
—
|
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: Trudy Ship | Statement: [Must Love Dogs, editor, Trudy Ship]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trudy Ship Context triple: [Must Love Dogs, editor, Trudy Ship]
-
A.
Trudy Ship
chosen
Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
-
B.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
C.
Huron Lightship
Huron Lightship is a historic Great Lakes lightship that once served as a floating lighthouse and is now preserved as a museum vessel in Port Huron, Michigan.
-
D.
Ambrose Lightship
Ambrose Lightship was a lightship stationed off New York Harbor that served as a critical floating lighthouse guiding ships safely through the Ambrose Channel.
-
E.
M/V LeConte
M/V LeConte is an Alaska Marine Highway System ferry that provides passenger and vehicle service to coastal communities in Southeast Alaska.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.