Triple
T33602438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah |
E860754
|
entity |
| Predicate | bestFriendSince |
P32390
|
FINISHED |
| Object | college |
—
|
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: college | Statement: [Hannah, bestFriendSince, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFriendSince Context triple: [Hannah, bestFriendSince, college]
-
A.
childhoodFriend
Indicates that two people were close friends during their childhood period.
-
B.
formerFriend
Indicates that two entities were once friends but are no longer in a friendship relationship.
-
C.
bestFriendDynamicWith
Indicates a close, primary friendship relationship between two entities, typically characterized by mutual trust, support, and frequent positive interaction.
-
D.
relationshipDurationWith
Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
-
E.
relationshipStartYear
chosen
Indicates the calendar year in which a particular relationship between entities was initiated.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.