Triple
T23053142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Foreman |
E574075
|
entity |
| Predicate | hasFanBaseFor |
P150794
|
FINISHED |
| Object | her portrayal of Meghan Rotundi |
—
|
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: her portrayal of Meghan Rotundi | Statement: [Amanda Foreman, hasFanBaseFor, her portrayal of Meghan Rotundi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseFor Context triple: [Amanda Foreman, hasFanBaseFor, her portrayal of Meghan Rotundi]
-
A.
hasFanBaseFrom
Indicates that an entity has a significant group of supporters or followers originating from a specified place, group, or source.
-
B.
hasFanBaseDepictedAs
Indicates that an entity has a fan base that is visually or narratively represented in some form (e.g., in media, artwork, or documentation).
-
C.
hasFanBasePrimarilyIn
Indicates that an entity’s main or largest group of supporters, followers, or fans is located in a specified place or region.
-
D.
hasGlobalFanBase
Indicates that an entity is widely recognized and followed by fans across multiple countries or regions.
-
E.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867dfac48190bf300f85d2907854 |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:54 p.m.