Triple
T10015475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Russo |
E199480
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | Alcoa |
E174392
|
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: Alcoa | Statement: [Patricia Russo, boardMemberOf, Alcoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcoa Context triple: [Patricia Russo, boardMemberOf, Alcoa]
-
A.
Alcoa
chosen
Alcoa is a major American industrial corporation known primarily for its global production of aluminum and related engineered products.
-
B.
Alcoa
Alcoa is a small industrial city in Blount County, Tennessee, historically centered around aluminum production and part of the Knoxville metropolitan area.
-
C.
Kaiser Aluminum
Kaiser Aluminum is an American industrial company specializing in the production of fabricated aluminum products for aerospace, automotive, and other high-performance applications.
-
D.
Alcan
Alcan is a French publishing house known for issuing significant academic and sociological works in the late 19th and early 20th centuries.
-
E.
Mitsubishi Aluminum
Mitsubishi Aluminum is a Mitsubishi Group company specializing in the production and processing of aluminum materials and related products.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.