Triple
T32164171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Roberts as Julianne Potter |
E821511
|
entity |
| Predicate | hasGayBestFriend |
P173652
|
FINISHED |
| Object | George Downes |
—
|
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: George Downes | Statement: [Julia Roberts as Julianne Potter, hasGayBestFriend, George Downes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGayBestFriend Context triple: [Julia Roberts as Julianne Potter, hasGayBestFriend, George Downes]
-
A.
hasBoyfriend
Indicates that a person is in a romantic relationship where the other party is their boyfriend.
-
B.
hasYoungerFriend
Indicates that one person has a friend who is younger than they are.
-
C.
hasFamilyFriend
Indicates that one entity has another entity as a friend who is connected through family ties or close familial relationships.
-
D.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
E.
hasLGBTParents
Indicates that an individual has one or more parents who identify as lesbian, gay, bisexual, or transgender.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1e9d5c81908ba549e95fca3c93 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:33 a.m.