Triple
T26114833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Zane |
E658795
|
entity |
| Predicate | leavesSeriesWith |
P160721
|
FINISHED |
| Object | Mike Ross |
—
|
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: Mike Ross | Statement: [Rachel Zane, leavesSeriesWith, Mike Ross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesSeriesWith Context triple: [Rachel Zane, leavesSeriesWith, Mike Ross]
-
A.
leavesSeriesIn
Indicates that an entity departs from or exits a particular series, sequence, or collection it was previously part of.
-
B.
leavesInSerial
Indicates that one entity departs or exits in a sequence or ordered series relative to other entities.
-
C.
leavesSeriesInSeason
Indicates that an entity departs from or exits a series during a specific season.
-
D.
leavesChildrenIn
Indicates that a parent or guardian departs while their children remain in a specified place or situation.
-
E.
leavesIn
Indicates that one entity departs from or exits another entity, such as a place, group, or state, at a particular time or under certain conditions.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 8:04 p.m.