Triple
T32485844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Hofstadter |
E830237
|
entity |
| Predicate | relationshipToLeonard |
P206292
|
FINISHED |
| Object | estranged father |
—
|
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 father | Statement: [Alfred Hofstadter, relationshipToLeonard, estranged father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToLeonard Context triple: [Alfred Hofstadter, relationshipToLeonard, estranged father]
-
A.
relationshipToSheldonCooper
Indicates the specific interpersonal or familial connection that an entity has to Sheldon Cooper.
-
B.
relationshipToDrLeoMarvin
Indicates the specific personal or professional connection an entity has with Dr. Leo Marvin.
-
C.
relationshipToBenny
Indicates the specific type of personal or social relationship that an entity has with Benny.
-
D.
relationshipToRajeshKoothrappali
Indicates the specific type of personal, social, or familial relationship that an entity has with Rajesh Koothrappali.
-
E.
relationshipToLloyd
Indicates the specific type of personal or social relationship an entity has with Lloyd.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:58 a.m.