Triple
T22936186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Parsons |
E569589
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Parsons |
—
|
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: Parsons | Statement: [Alan Parsons, familyName, Parsons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parsons Context triple: [Alan Parsons, familyName, Parsons]
-
A.
Parsons
Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
-
B.
Parsons
chosen
Parsons is a surname of English origin borne by numerous notable individuals across politics, arts, science, and other fields.
-
C.
Parsons Paris
Parsons Paris is the European campus of Parsons School of Design in Paris, offering art and design education with a global, interdisciplinary focus.
-
D.
Parsons Sun
The Parsons Sun is a local daily newspaper serving the community of Parsons and the surrounding area in southeastern Kansas.
-
E.
Pratt
Pratt is a common English surname borne by various notable individuals across fields such as entertainment, politics, and academia.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813608e48190922df7a5386dc391 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.