Triple
T15617397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gingerbread Man Records |
E375451
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Jamie Lawson |
E1166374
|
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: Jamie Lawson | Statement: [Gingerbread Man Records, associatedAct, Jamie Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Lawson Context triple: [Gingerbread Man Records, associatedAct, Jamie Lawson]
-
A.
Jamie Lawson
chosen
Jamie Lawson is a British singer-songwriter best known for his heartfelt acoustic pop music and the hit single "Wasn't Expecting That."
-
B.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
C.
Pat Stevens
Pat Stevens is an American voice actress best known for voicing Velma Dinkley in the "Scooby-Doo" animated television series during the late 1970s.
-
D.
Daniel Parish
Daniel Parish is a central character in the British period drama series "Lark Rise to Candleford," depicted as an ambitious and idealistic young journalist.
-
E.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3913908190acdd7da62b4f521d |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.