Triple
T21518530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Chandler |
E530907
|
entity |
| Predicate | relationToJohnBrodie |
P94755
|
FINISHED |
| Object | son-in-law |
—
|
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: son-in-law | Statement: [Chris Chandler, relationToJohnBrodie, son-in-law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToJohnBrodie Context triple: [Chris Chandler, relationToJohnBrodie, son-in-law]
-
A.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
-
B.
relationshipToRelative
chosen
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
C.
relationToPenelope
Indicates a relational connection that one entity has specifically toward Penelope.
-
D.
relationshipToJoeBuck
Indicates the specific familial, social, or professional relationship that one entity has to the person Joe Buck.
-
E.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee81438cbc8190aba0f546b27eb2a4 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.