Triple
T30232727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flash Thompson |
E768674
|
entity |
| Predicate | laterBecomesFriendOf |
P39937
|
FINISHED |
| Object | Peter Parker |
—
|
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: Peter Parker | Statement: [Flash Thompson, laterBecomesFriendOf, Peter Parker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBecomesFriendOf Context triple: [Flash Thompson, laterBecomesFriendOf, Peter Parker]
-
A.
eventuallyBefriends
chosen
Indicates that one entity, after some passage of time or intervening events, comes to form a friendly or amicable relationship with another entity.
-
B.
formerFriend
Indicates that two entities were once friends but are no longer in a friendship relationship.
-
C.
childhoodFriend
Indicates that two people were close friends during their childhood period.
-
D.
linksFriendshipTo
Indicates a relationship that connects an entity to another entity with which it has a friendship.
-
E.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: April 29, 2026, 7:37 p.m.