Triple
T14877540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donal Logue |
E349905
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Grounded for Life |
E605971
|
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: Grounded for Life | Statement: [Donal Logue, notableWork, Grounded for Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grounded for Life Context triple: [Donal Logue, notableWork, Grounded for Life]
-
A.
Grounded for Life
chosen
Grounded for Life is an American sitcom that follows the comedic misadventures of a young Irish-American couple raising their three children in Staten Island.
-
B.
Grounded
Grounded is a cooperative survival video game where players, shrunken to insect size, must craft, build, and fight to survive in a suburban backyard.
-
C.
Off the Ground
Off the Ground is a 1993 studio album by Paul McCartney that blends rock and pop with socially conscious and introspective themes.
-
D.
A Safe Place to Land
"A Safe Place to Land" is a track from the album "Amidst the Chaos" by singer-songwriter Sara Bareilles, known for its emotional depth and introspective lyrics.
-
E.
She’ll Never Get Off the Ground
"She’ll Never Get Off the Ground" is an aviation-themed novel by Robert J. Serling that blends technical accuracy about flying with suspenseful storytelling.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b54ad7c819082575245da07e358 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.