Triple
T5866241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Few |
E130400
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Few |
E493228
|
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: Few | Statement: [Mark Few, familyName, Few]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Few Context triple: [Mark Few, familyName, Few]
-
A.
Few
chosen
Few is an English-language surname borne by various notable individuals, including American politician and Founding Father William Few.
-
B.
Less
Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
-
C.
Not Long
"Not Long" is a hip-hop track by American rapper Ludacris from his album "Ludaversal."
-
D.
Some/One
Some/One is a large-scale stainless-steel sculpture by Do Ho Suh composed of thousands of military dog tags forming a monumental, empty suit of armor that explores themes of individuality and collective identity.
-
E.
Most
Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035c10648819098c638cdc2084c80 |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1cd307c8190bbb6f5749b30c538 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.