Triple
T15681683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Harris |
E377591
|
entity |
| Predicate | relationshipNatureWithCharlotte |
P119736
|
FINISHED |
| Object | platonic intimacy |
—
|
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: platonic intimacy | Statement: [Bob Harris, relationshipNatureWithCharlotte, platonic intimacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipNatureWithCharlotte Context triple: [Bob Harris, relationshipNatureWithCharlotte, platonic intimacy]
-
A.
partnerTown
Indicates that two towns are formally linked through a partnership or twinning relationship, often for cultural, economic, or administrative cooperation.
-
B.
cityRelationship
Indicates a relationship that specifies how one city is connected or related to another city (e.g., administratively, geographically, or functionally).
-
C.
cityStatusRelationship
Indicates a relationship specifying the administrative or legal status of a city (such as whether it is a capital, municipality type, or holds a particular civic designation).
-
D.
townIncluded
Indicates that one town is geographically or administratively contained within another specified area or jurisdiction.
-
E.
countyAssociation
Indicates a relationship where an entity is associated with, belongs to, or is administered by a specific county.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.