Triple
T32324665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoirs of an Actress |
E825872
|
entity |
| Predicate | hasNotableFigureMentioned |
P20309
|
FINISHED |
| Object | Lilli Palmer |
—
|
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: Lilli Palmer | Statement: [Memoirs of an Actress, hasNotableFigureMentioned, Lilli Palmer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFigureMentioned Context triple: [Memoirs of an Actress, hasNotableFigureMentioned, Lilli Palmer]
-
A.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
B.
hasNotableMilitaryFigure
Indicates that an entity is associated with or distinguished by a specific person recognized for significant military role, rank, or achievements.
-
C.
notablePersonDiscussed
chosen
Indicates that the subject entity includes or features a discussion about the referenced notable person.
-
D.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
E.
hasNotablePersonConnection
Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
- F. None of above.
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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
Created at: May 1, 2026, 12:47 a.m.