Triple
T26900124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bachelorette |
E678002
|
entity |
| Predicate | leadRoleTitle |
P141144
|
FINISHED |
| Object | the Bachelorette |
—
|
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: the Bachelorette | Statement: [The Bachelorette, leadRoleTitle, the Bachelorette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadRoleTitle Context triple: [The Bachelorette, leadRoleTitle, the Bachelorette]
-
A.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
B.
leadTitle
chosen
Indicates that the specified title is the primary or main title associated with an entity.
-
C.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
-
D.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
E.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fae0fc48190a9099a1e3d705a90 |
completed | May 2, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:50 a.m.