Triple
T27435977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Chappel |
E690783
|
entity |
| Predicate | laterLastName |
P121268
|
FINISHED |
| Object | Hackett |
—
|
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: Hackett | Statement: [Helen Chappel, laterLastName, Hackett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLastName Context triple: [Helen Chappel, laterLastName, Hackett]
-
A.
laterFamilyNameForm
chosen
Indicates that one family name is a later or subsequent form of another family name, reflecting a change or evolution over time.
-
B.
fatherSurname
Indicates that one entity has the same surname as, or is identified by, the family name of, the father in relation to another entity.
-
C.
laterNamed
Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
-
D.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
E.
laterTakesSurnameFrom
Indicates that one entity adopts or assumes the surname of another entity at a later point in time.
- 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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 12:43 p.m.