Triple
T19731995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Mackenzie Phillips |
E473876
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shane Fontayne |
—
|
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: Shane Fontayne | Statement: [Laura Mackenzie Phillips, spouse, Shane Fontayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Fontayne Context triple: [Laura Mackenzie Phillips, spouse, Shane Fontayne]
-
A.
Shane Fontayne
chosen
Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
-
B.
Shane Morris
Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
-
C.
Shane Morris
Shane Morris is a screenwriter known for his work on animated family films, including contributing to the script for "PAW Patrol: The Mighty Movie."
-
D.
Shane McDermott
Shane McDermott is an American actor best known for his leading role as a laid-back inline skater in the 1993 teen sports comedy film "Airborne."
-
E.
Shane Deary
Shane Deary is an American carpenter and contractor known for his past marriage to actress Keri Russell.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.