Triple
T34494334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Mills |
E885557
|
entity |
| Predicate | formerGirlfriendOf |
P90273
|
FINISHED |
| Object | Johnny Lawrence |
—
|
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: Johnny Lawrence | Statement: [Ali Mills, formerGirlfriendOf, Johnny Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGirlfriendOf Context triple: [Ali Mills, formerGirlfriendOf, Johnny Lawrence]
-
A.
formerFiancéeOf
Indicates that one person was previously engaged to be married to another person, but the engagement has since ended.
-
B.
formerRomanticInterest
Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
-
C.
exBoyfriendOf
chosen
Indicates that one person was formerly the romantic boyfriend of another person.
-
D.
formerHusbandOf
Indicates that one person was previously the husband of another person, but the marital relationship has since ended.
-
E.
formerFriend
Indicates that two entities were once friends but are no longer in a friendship 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
Created at: May 1, 2026, 2:01 a.m.