Triple
T35393493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Cahill (Personal Best) |
E1023004
|
entity |
| Predicate | coachInStory |
P182924
|
FINISHED |
| Object | Terry Tingloff |
—
|
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: Terry Tingloff | Statement: [Chris Cahill (Personal Best), coachInStory, Terry Tingloff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachInStory Context triple: [Chris Cahill (Personal Best), coachInStory, Terry Tingloff]
-
A.
coachSince
Indicates that one entity has been serving as a coach for another entity starting from a specified point in time.
-
B.
coachedRole
Indicates that one entity served as a coach for another entity in a specific role or position.
-
C.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
-
D.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
E.
coachProfession
Indicates that one entity serves professionally as a coach in relation to the other entity.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794fe3db08190a2469f2d2280262c |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.