Triple
T35666559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Flood |
E1030578
|
entity |
| Predicate | spendsTimeWith |
P144448
|
FINISHED |
| Object | Dolores Abernathy |
—
|
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: Dolores Abernathy | Statement: [Teddy Flood, spendsTimeWith, Dolores Abernathy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spendsTimeWith Context triple: [Teddy Flood, spendsTimeWith, Dolores Abernathy]
-
A.
spendsTimeAt
Indicates that an entity regularly or repeatedly uses time at a particular place or location.
-
B.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
timeSharingWith
chosen
Indicates a relationship where two or more entities are concurrently or alternately using, accessing, or occupying the same resource, system, or period of time.
-
D.
sitterOf
Indicates that one entity serves as a caretaker or babysitter responsible for looking after another entity.
-
E.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fac9a748190bbead51a19556c63 |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.