Triple
T25523359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie's bar |
E639712
|
entity |
| Predicate | hasCanonicalOwnerInStory |
P61752
|
FINISHED |
| Object | Archie Bunker |
—
|
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: Archie Bunker | Statement: [Archie's bar, hasCanonicalOwnerInStory, Archie Bunker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalOwnerInStory Context triple: [Archie's bar, hasCanonicalOwnerInStory, Archie Bunker]
-
A.
ownerInStory
chosen
Indicates that one entity is the owner of another entity within the context or narrative of a specific story.
-
B.
hasManagerInStory
Indicates that one entity serves as the manager of another entity within the context of a specific story or narrative.
-
C.
hasStaffTypeInStory
Indicates that a story involves or is associated with a particular type or category of staff.
-
D.
ownedByInNarrative
Indicates that one entity is portrayed as owning or possessing another entity within the context of a specific narrative or story.
-
E.
hasAwardInStory
Indicates that an entity is depicted within a narrative or story as having received a particular award.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 3:02 p.m.