Triple
T26793233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Salter |
E670573
|
entity |
| Predicate | relationshipToGaryMcClain |
P198211
|
FINISHED |
| Object | long-term same-sex partner |
—
|
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: long-term same-sex partner | Statement: [Doug Salter, relationshipToGaryMcClain, long-term same-sex partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGaryMcClain Context triple: [Doug Salter, relationshipToGaryMcClain, long-term same-sex partner]
-
A.
relationshipToGabeGoodman
Indicates the specific type of personal or social relationship an entity has with Gabe Goodman.
-
B.
relationshipTypeWith Eugene Gant
Indicates the specific nature or category of relationship that an entity has with Eugene Gant.
-
C.
relationshipToMichelle
Indicates the specific type of relationship or connection that an entity has to Michelle.
-
D.
relationshipToMartinGray
Indicates the specific type of relationship or connection an entity has to Martin Gray.
-
E.
relationshipToTracyLord
Indicates the specific type of personal or social relationship an entity has with Tracy Lord.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69fed3569ca881909f4291baeb665d9d |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 27, 2026, 4:17 a.m.