Triple
T33864347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrity Big Brother (U.S.) season 2 |
E868003
|
entity |
| Predicate | houseguest |
P181010
|
FINISHED |
| Object | Tamar Braxton |
—
|
NE NERFINISHED |
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: Tamar Braxton | Statement: [Celebrity Big Brother (U.S.) season 2, houseguest, Tamar Braxton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseguest Context triple: [Celebrity Big Brother (U.S.) season 2, houseguest, Tamar Braxton]
-
A.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
-
B.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by another entity.
-
C.
hostedResidencyBy
Indicates that an entity organized and provided a residency program for another entity.
-
D.
relationshipWithGuests
Indicates the nature or status of the connection or interaction that someone has with their guests.
-
E.
hostedAtResidence
Indicates that an event, gathering, or activity is held or organized at a person's residence.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:47 a.m.