Triple
T18702317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Moss |
E457282
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moss |
—
|
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: Moss | Statement: [Pat Moss, familyName, Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss Context triple: [Pat Moss, familyName, Moss]
-
A.
Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
B.
Moss
chosen
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
-
C.
Moss
Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
-
D.
Moss
Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
-
E.
Moss
Moss is a dog-like companion creature in the Pikmin series who aids the player and Pikmin with tracking, combat, and transportation.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56714d0588190ac050356bc2784fd |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.