Triple
T31372689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Christopher Anthony |
E800206
|
entity |
| Predicate | titleRoleIn |
P38167
|
FINISHED |
| Object | Dear Evan Hansen |
—
|
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: Dear Evan Hansen | Statement: [Stephen Christopher Anthony, titleRoleIn, Dear Evan Hansen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleRoleIn Context triple: [Stephen Christopher Anthony, titleRoleIn, Dear Evan Hansen]
-
A.
titleOrRole
chosen
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
B.
titleHolderPublicRole
Indicates that an entity holds a publicly recognized role, office, or position associated with a given title.
-
C.
themeRole
Indicates that an entity is the primary participant undergoing or affected by the action or event expressed by a predicate.
-
D.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
E.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 29, 2026, 9:18 p.m.