Triple
T26702448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Maguire |
E673195
|
entity |
| Predicate | isOldFriendOf |
P26472
|
FINISHED |
| Object | Jimmy Conlon |
—
|
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: Jimmy Conlon | Statement: [Shawn Maguire, isOldFriendOf, Jimmy Conlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldFriendOf Context triple: [Shawn Maguire, isOldFriendOf, Jimmy Conlon]
-
A.
acquaintanceOf
Indicates that one entity knows another in a casual or non-intimate way, without implying close friendship or strong personal ties.
-
B.
hasFriendship
chosen
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
C.
isFriendOfProtagonist
Indicates that one entity is a friend or close ally of the story’s main character.
-
D.
hasFriendEnemyRelationshipWith
Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
-
E.
hasUncleOfFriend
Indicates that one person is the uncle of another person’s friend.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 3:32 a.m.