Triple
T31888166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closer: The Best of Sarah McLachlan |
E814059
|
entity |
| Predicate | includesHitsBy |
P137976
|
FINISHED |
| Object | Sarah McLachlan |
—
|
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: Sarah McLachlan | Statement: [Closer: The Best of Sarah McLachlan, includesHitsBy, Sarah McLachlan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesHitsBy Context triple: [Closer: The Best of Sarah McLachlan, includesHitsBy, Sarah McLachlan]
-
A.
includesHits
chosen
Indicates that one entity contains or encompasses one or more hits, results, or matching items associated with another entity.
-
B.
includesEarlierHits
Indicates that the current result set contains or subsumes hits that were found in an earlier search or retrieval operation.
-
C.
includesMatchesFrom
Indicates that one entity contains or aggregates matches or matching results that originate from another source or context.
-
D.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
E.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0189f3f0248190a1b018164d18e6f5 |
completed | May 11, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_6a0187ee0920819097047bb55e1f9506 |
completed | May 11, 2026, 7:40 a.m. |
Created at: April 30, 2026, 11:57 p.m.