Triple
T2504521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Spitz |
E52546
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spitz |
E114818
|
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: Spitz | Statement: [Mark Spitz, familyName, Spitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spitz Context triple: [Mark Spitz, familyName, Spitz]
-
A.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
B.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
C.
Pug
Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
-
D.
Husky
chosen
The Husky is a hardy, thick-coated working dog breed originally developed in Arctic regions for pulling sleds and enduring extreme cold.
-
E.
Husky
Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cd2db0819087d21ec49ffd9585 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa57aa4819096578a5538973ec4 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.