Triple
T28206259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Riley |
E717030
|
entity |
| Predicate | intersectsWithLivesOf |
P169055
|
FINISHED |
| Object | Alex Fletcher |
—
|
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: Alex Fletcher | Statement: [Chris Riley, intersectsWithLivesOf, Alex Fletcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intersectsWithLivesOf Context triple: [Chris Riley, intersectsWithLivesOf, Alex Fletcher]
-
A.
livesAcross
Indicates that one entity resides in a dwelling or location situated directly across from another entity’s dwelling or location, typically on the opposite side of a street or similar dividing space.
-
B.
livesInWorldWith
Indicates that one entity exists or resides within the same world or universe as another entity.
-
C.
يتداخل
chosen
Indicates that one entity overlaps or intersects spatially, temporally, or conceptually with another entity.
-
D.
hasParallelLifeWith
Indicates that two entities lead or experience lives that run alongside each other in similar, corresponding, or contemporaneous ways without fully intersecting.
-
E.
crossesBetween
Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 10:35 p.m.