Triple
T6017936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Alworth |
E133992
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lance |
E186098
|
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: Lance | Statement: [Lance Alworth, givenName, Lance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lance Context triple: [Lance Alworth, givenName, Lance]
-
A.
Lance
Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
-
B.
Lance
chosen
Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
-
C.
Lance Stater
Lance Stater is a central character in the British comedy series "Detectorists," portrayed as an earnest, somewhat melancholic metal-detecting enthusiast and best friend of Andy Stone.
-
D.
Lance the Lancer
Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
-
E.
Lance Johnson
Lance Johnson is a film producer known for his work on the biographical comedy-drama "The Life and Death of Peter Sellers."
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8458588190a78aa32cbdbecfb1 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108b842c48190b9469e2892a213d3 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:07 p.m.