Triple
T3282484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hester Prynne |
E68903
|
entity |
| Predicate | relationshipToRogerChillingworth |
P47685
|
FINISHED |
| Object | estranged wife |
—
|
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: estranged wife | Statement: [Hester Prynne, relationshipToRogerChillingworth, estranged wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToRogerChillingworth Context triple: [Hester Prynne, relationshipToRogerChillingworth, estranged wife]
-
A.
relationshipToAhab
Indicates the specific type of personal or social connection an entity has with Ahab.
-
B.
relationshipToMissWatson
Indicates the type or nature of a person's relational connection to Miss Watson (e.g., familial, social, or other defined relationship).
-
C.
roleInBrethrenCourt
Indicates that an entity holds a specific position or function within the Brethren Court organization or council.
-
D.
associatedWithHeresy
Indicates that one entity is regarded as being connected or linked to heresy, such as by supporting, promoting, or being influenced by heretical beliefs or practices.
-
E.
relationshipToHuck
Indicates the specific type of personal or social relationship that one entity has with Huck.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0345d448190a1f936abe7748e33 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.