Triple
T38671252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Jack MacKee |
E940594
|
entity |
| Predicate | relationshipToColleague |
P206610
|
FINISHED |
| Object | friend and colleague of Dr. Murray Kaplan |
—
|
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: friend and colleague of Dr. Murray Kaplan | Statement: [Dr. Jack MacKee, relationshipToColleague, friend and colleague of Dr. Murray Kaplan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToColleague Context triple: [Dr. Jack MacKee, relationshipToColleague, friend and colleague of Dr. Murray Kaplan]
-
A.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
B.
formerColleagueOf
Indicates that two entities once worked together as colleagues in the past but no longer do so.
-
C.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
D.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward another entity.
-
E.
relationshipToOrganization
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:33 p.m.