Triple
T20492672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Stamp |
E502784
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stamp |
—
|
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: Stamp | Statement: [Chris Stamp, familyName, Stamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stamp Context triple: [Chris Stamp, familyName, Stamp]
-
A.
Stamp
chosen
Stamp is a common English surname borne by various notable individuals, including the British actor Terence Stamp.
-
B.
Stempel
Stempel is a surname most notably associated with Robert R. Stempel, the former chairman and CEO of General Motors.
-
C.
Stamps
Stamps is the common nickname for the Calgary Stampeders, a professional Canadian Football League team based in Calgary, Alberta.
-
D.
Sello
Sello is a major shopping and entertainment center located in Espoo, Finland, featuring a wide range of shops, restaurants, and cultural services.
-
E.
Sticker
Sticker is a small village in Cornwall, England, known for its rural character and proximity to the town of St Austell.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.