Triple
T25707656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mystery of Tally-Ho Cottage |
E644636
|
entity |
| Predicate | hasMysteryToSolve |
P21752
|
FINISHED |
| Object | strange goings-on at Tally-Ho Cottage |
—
|
LITERAL FINISHED |
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: strange goings-on at Tally-Ho Cottage | Statement: [The Mystery of Tally-Ho Cottage, hasMysteryToSolve, strange goings-on at Tally-Ho Cottage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMysteryToSolve Context triple: [The Mystery of Tally-Ho Cottage, hasMysteryToSolve, strange goings-on at Tally-Ho Cottage]
-
A.
hasMystery
chosen
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
B.
mysteryAssociatedWith
Indicates a relationship where something is connected to, involved in, or characterized by an element of mystery or the unknown.
-
C.
hadGreaterMysteries
Indicates that one entity possessed or was associated with more profound, secret, or advanced mysteries than another entity.
-
D.
numberOfMysteries
Indicates the quantity or count of mysteries associated with a given entity.
-
E.
mysteryStatus
Indicates that an entity’s current state or condition is unknown, hidden, or intentionally left unexplained.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 9:06 p.m.