Triple
T35186171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Cool |
E1015988
|
entity |
| Predicate | hasFriendInUniverse |
P182980
|
FINISHED |
| Object | Woodstock |
—
|
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: Woodstock | Statement: [Joe Cool, hasFriendInUniverse, Woodstock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFriendInUniverse Context triple: [Joe Cool, hasFriendInUniverse, Woodstock]
-
A.
hasFriends
Indicates that an entity is socially connected to one or more other entities in a friendship relationship.
-
B.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
C.
hasFamilyConnectionOutOfUniverse
Indicates that one entity has a familial relationship to another entity in a context external to the primary or canonical universe.
-
D.
hasUncleOfFriend
Indicates that one person is the uncle of another person’s friend.
-
E.
hasFriendOnScreen
Indicates that one entity appears together with another entity as a friend within an on-screen context (such as in a film, show, or video).
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:02 p.m.