Triple
T19312441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefania LaVie Owen |
E483004
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | All We Had |
—
|
NE NERFINISHED |
How this triple was built (3 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: All We Had | Statement: [Stefania LaVie Owen, notableWork, All We Had]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All We Had Context triple: [Stefania LaVie Owen, notableWork, All We Had]
-
A.
We Had It All
"We Had It All" is a country song best known through Waylon Jennings’ influential 1973 recording, which helped cement its status as a genre standard covered by numerous artists.
-
B.
We All Loved Each Other So Much
We All Loved Each Other So Much is a 1974 Italian comedy-drama film directed by Ettore Scola that follows three friends over several decades as they navigate love, politics, and disillusionment in postwar Italy.
-
C.
All Shall Be Well
All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
-
D.
Who We Used to Be
"Who We Used to Be" is a studio album by British singer-songwriter James Blunt that continues his signature melodic pop style with reflective, emotionally driven songs.
-
E.
We Were There
"We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: All We Had Target entity description: All We Had is a 2016 American drama film, directed by and starring Katie Holmes, that follows a struggling mother and daughter trying to build a stable life amid poverty.
-
A.
We Had It All
"We Had It All" is a country song best known through Waylon Jennings’ influential 1973 recording, which helped cement its status as a genre standard covered by numerous artists.
-
B.
We All Loved Each Other So Much
We All Loved Each Other So Much is a 1974 Italian comedy-drama film directed by Ettore Scola that follows three friends over several decades as they navigate love, politics, and disillusionment in postwar Italy.
-
C.
All Shall Be Well
All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
-
D.
Who We Used to Be
"Who We Used to Be" is a studio album by British singer-songwriter James Blunt that continues his signature melodic pop style with reflective, emotionally driven songs.
-
E.
We Were There
"We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
- F. None of above. chosen
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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.