Triple
T37892605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Haack |
E945187
|
entity |
| Predicate | marriageToTarekElMoussaEnd |
P196236
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Christina Haack, marriageToTarekElMoussaEnd, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToTarekElMoussaEnd Context triple: [Christina Haack, marriageToTarekElMoussaEnd, 2018]
-
A.
marriageToTarekElMoussaStart
Indicates the point in time when an entity began being married to Tarek El Moussa.
-
B.
marriageToNadiaSawalha
Indicates a marital relationship in which the subject is married to Nadia Sawalha.
-
C.
marriageStartWithHeatherRaeElMoussa
Indicates the point in time when a marriage involving Heather Rae El Moussa begins.
-
D.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
-
E.
resultedInMarriageTo
Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
| PDg | Predicate description generation | batch_69fe1639613c8190aaf1b4c8e2d861ba |
completed | May 8, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:19 p.m.