Triple
T3589413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Parris |
E75989
|
entity |
| Predicate | residenceDuringEvent |
P49534
|
FINISHED |
| Object | household of Samuel Parris |
—
|
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: household of Samuel Parris | Statement: [Elizabeth Parris, residenceDuringEvent, household of Samuel Parris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringEvent Context triple: [Elizabeth Parris, residenceDuringEvent, household of Samuel Parris]
-
A.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
B.
residenceAtStartOfFilm
Indicates the place where a person or character is living at the beginning of the film.
-
C.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
D.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
E.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.