Triple
T18376536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaverdi |
E446332
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Lori Marz |
—
|
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: Lori Marz | Statement: [Alaverdi, countrySubdivision, Lori Marz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Marz Context triple: [Alaverdi, countrySubdivision, Lori Marz]
-
A.
Lori Marz
chosen
Lori Marz is a province in northern Armenia known for its mountainous landscapes, historic monasteries, and the city of Vanadzor as its capital.
-
B.
Lori Peters
Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
-
C.
Lori Harvey
Lori Harvey is an American model, entrepreneur, and social media personality known for her high-profile fashion work and public relationships.
-
D.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
-
E.
Lori Collins
Lori Collins is a central character in the comedy film "Ted," known as John Bennett’s long-suffering girlfriend who pushes him to grow up and choose between her and his crude, living teddy bear best friend.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179849d08190a3ffb9edc633d2ee |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.