Triple
T37159417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Whitman |
E920604
|
entity |
| Predicate | laterLivesAs |
P16968
|
FINISHED |
| Object | Don Draper |
—
|
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: Don Draper | Statement: [Dick Whitman, laterLivesAs, Don Draper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLivesAs Context triple: [Dick Whitman, laterLivesAs, Don Draper]
-
A.
livedAs
Indicates that an entity existed or spent a period of time in the role, identity, or state specified by another entity.
-
B.
laterWorksAs
Indicates that an entity holds or takes on a particular occupation or role at a later point in time relative to another referenced time or role.
-
C.
laterPersonaOf
Indicates that one entity represents a later version, incarnation, or persona of another entity in time or narrative sequence.
-
D.
afterlifeName
Indicates the name or designation assigned to an entity in an afterlife or post-mortem context.
-
E.
laterNamed
chosen
Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
- 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_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
Created at: May 3, 2026, 4:15 p.m.