Triple
T29551896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Barish |
E749792
|
entity |
| Predicate | plotActivity |
P167018
|
FINISHED |
| Object | poses as a loving new wife to Thomas Callahan Sr. |
—
|
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: poses as a loving new wife to Thomas Callahan Sr. | Statement: [Beverly Barish, plotActivity, poses as a loving new wife to Thomas Callahan Sr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plotActivity Context triple: [Beverly Barish, plotActivity, poses as a loving new wife to Thomas Callahan Sr.]
-
A.
coordinatesActivitiesOf
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
B.
playerActivities
Indicates the various actions, events, or engagements that a player participates in within a given context or system.
-
C.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
E.
modernActivities
Indicates that the associated activities are contemporary or characteristic of the modern era, as opposed to traditional or historical practices.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf8785c8190aa5261c208fd4c2f |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 5:12 p.m.