Triple
T10285202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strange Love of Martha Ivers |
E241208
|
entity |
| Predicate | lizabethScottRole |
P93255
|
FINISHED |
| Object | Toni Marachek |
—
|
LITERAL 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: Toni Marachek | Statement: [The Strange Love of Martha Ivers, lizabethScottRole, Toni Marachek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lizabethScottRole Context triple: [The Strange Love of Martha Ivers, lizabethScottRole, Toni Marachek]
-
A.
PrincessElizabethRole
Indicates that an entity holds or is assigned the role or title associated with Princess Elizabeth in a given context.
-
B.
roleOfElizabethII
Indicates that the specified role, position, or title is held by Elizabeth II.
-
C.
Princess ElizabethRank
Indicates that an entity holds the noble or royal rank or title of Princess Elizabeth.
-
D.
Princess ElizabethLaterRank
Indicates that the person referred to as Princess Elizabeth later held a higher or different rank or title.
-
E.
heldByPrincessMaryDaughterOfGeorgeV
Indicates that something is possessed, owned, or held by Princess Mary, the daughter of King George V.
- F. None of above. chosen
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.