Triple
T30756017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald Martin |
E783087
|
entity |
| Predicate | relationToAndrewMartin |
P204222
|
FINISHED |
| Object | family member or close associate (uncertain) |
—
|
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: family member or close associate (uncertain) | Statement: [Gerald Martin, relationToAndrewMartin, family member or close associate (uncertain)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToAndrewMartin Context triple: [Gerald Martin, relationToAndrewMartin, family member or close associate (uncertain)]
-
A.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
-
B.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
-
C.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
D.
relationToPenelope
Indicates a relational connection that one entity has specifically toward Penelope.
-
E.
relationToBabo
Indicates a relationship or connection that an entity has to the person or entity referred to as "Babo."
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a034ca1a8d88190bd44f33814436e59 |
completed | May 12, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a034b591f2481908e05562841c9a3c2 |
completed | May 12, 2026, 3:46 p.m. |
| PDg | Predicate description generation | batch_6a034ca0f2808190a4eb2e1e94fcaa47 |
completed | May 12, 2026, 3:52 p.m. |
Created at: April 29, 2026, 8:39 p.m.