Triple
T37159737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Draper |
E920612
|
entity |
| Predicate | fullBirthName |
P80791
|
FINISHED |
| Object | Elizabeth Hofstadt |
—
|
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: Elizabeth Hofstadt | Statement: [Betty Draper, fullBirthName, Elizabeth Hofstadt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullBirthName Context triple: [Betty Draper, fullBirthName, Elizabeth Hofstadt]
-
A.
fullLegalName
Indicates that the associated value is the complete, official legal name of the entity as recognized by law or formal records.
-
B.
fullGivenNameOf
Indicates that one entity is the complete, formal given name corresponding to another entity (such as a person or identifier).
-
C.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
D.
bearerBirthNameOf
chosen
Indicates that one entity is the birth name originally given to and borne by another entity.
-
E.
fullNameRevealed
Indicates that an entity’s complete personal name has been disclosed or made known to another party or in a given context.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.