Triple
T23612298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Give All the Heart |
E583072
|
entity |
| Predicate | titleCharacterDepicted |
P92378
|
FINISHED |
| Object | Marilyn Monroe |
—
|
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: Marilyn Monroe | Statement: [Never Give All the Heart, titleCharacterDepicted, Marilyn Monroe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterDepicted Context triple: [Never Give All the Heart, titleCharacterDepicted, Marilyn Monroe]
-
A.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
B.
depictsCharacterType
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
C.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
D.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
titleCharacterRelation
chosen
Indicates the relationship between a work’s title and a specific character it references or centers on.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f582148190a525119aa51b9b84 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.