Triple
T18308333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander L. Wolf |
E438548
|
entity |
| Predicate | hasAffiliation |
P467
|
FINISHED |
| Object | ACM |
—
|
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: ACM | Statement: [Alexander L. Wolf, hasAffiliation, ACM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Context triple: [Alexander L. Wolf, hasAffiliation, ACM]
-
A.
ACM
chosen
ACM is a leading international scientific and educational computing society known for publishing research journals, organizing conferences, and advancing the field of computer science.
-
B.
ACM
ACM is the stock ticker symbol for AECOM, a global infrastructure consulting and engineering firm.
-
C.
ACM
ACM is the commonly used abbreviation for the Appellate Court of Maryland, an intermediate appellate court in the Maryland state judiciary.
-
D.
ACM
ACM is a senior four-star air officer rank used in several air forces, typically held by the professional head of the service.
-
E.
ACM
ACM is the Dutch Authority for Consumers and Markets, an independent regulator overseeing competition, consumer protection, and key network sectors in the Netherlands.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.