Triple
T31085292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing Crosby as Bob Wallace |
E792214
|
entity |
| Predicate | relationshipTypeWithPhilDavis |
P207349
|
FINISHED |
| Object | best friend |
—
|
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: best friend | Statement: [Bing Crosby as Bob Wallace, relationshipTypeWithPhilDavis, best friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPhilDavis Context triple: [Bing Crosby as Bob Wallace, relationshipTypeWithPhilDavis, best friend]
-
A.
relationshipTypeWith Ty Davis Jr.
Indicates the specific nature or category of the relationship that an entity has with Ty Davis Jr.
-
B.
relationshipTypeWith Willis Davidge
Indicates the specific nature or category of the relationship that an entity has with Willis Davidge.
-
C.
relationshipToPhilipMarlow
Indicates the specific type of personal or social relationship an entity has to Philip Marlow.
-
D.
relationshipTypeWithPhilipTempest
Indicates the specific nature or category of relationship an entity has with Philip Tempest.
-
E.
hasRelationshipTypeWith Philippe Renaldo
Indicates that there exists a specific type or category of relationship between an entity and Philippe Renaldo.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:02 p.m.