Triple
T14217420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Fraser |
E352391
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Traces |
E1086069
|
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: Traces | Statement: [Laura Fraser, appearedIn, Traces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traces Context triple: [Laura Fraser, appearedIn, Traces]
-
A.
Traces
Traces is a song co-written and produced by American songwriter and producer Buddy Buie, best known through its hit recording by the Classics IV.
-
B.
Traces
Traces is a film featuring British actor Vincent Regan in a prominent role.
-
C.
Traces
Traces is a solo studio album by American singer Steve Perry, marking his return to music after a long hiatus.
-
D.
Traces
Traces is a work by American historian and author James B. Cobb Jr., likely exploring themes related to the history and culture of the American South.
-
E.
Traces
chosen
Traces is a British crime drama television series centered on forensic science and murder investigations, produced by acclaimed TV producer Nicola Shindler.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6210213481908fac6893e8a9f143 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324d66a48190b58f6ce3a7c7facc |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:06 a.m.