Triple
T9427381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Too Well |
E227290
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Liz Rose |
E812542
|
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: Liz Rose | Statement: [All Too Well, writer, Liz Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Rose Context triple: [All Too Well, writer, Liz Rose]
-
A.
Liz Rose
chosen
Liz Rose is an American country music songwriter best known for her frequent collaborations with Taylor Swift on several of Swift’s early hit songs.
-
B.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
-
C.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
-
D.
Liza Marshall
Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
-
E.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e601508190b116fca9854057bc |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 7:49 p.m.