Triple
T21943509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelli Garner |
E541878
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love Liza |
E246583
|
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: Love Liza | Statement: [Kelli Garner, notableWork, Love Liza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Liza Context triple: [Kelli Garner, notableWork, Love Liza]
-
A.
Love Liza
chosen
Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
-
B.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
C.
Liza
Liza is a young, impoverished prostitute in Dostoevsky’s "Notes from Underground" whose encounter with the narrator exposes themes of vulnerability, dignity, and moral awakening.
-
D.
Liza
Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
-
E.
Me and Liza
"Me and Liza" is a song by singer-songwriter Rufus Wainwright, known as a tribute to Liza Minnelli reflecting on his relationship with her and her mother, Judy Garland.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6700274c8190a3a1a6f76290568f |
completed | May 18, 2026, 1:10 a.m. |
Created at: April 16, 2026, 7:56 p.m.