Triple
T37354411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarek El Moussa |
E927413
|
entity |
| Predicate | hasTelevisionShowFormat |
P139336
|
FINISHED |
| Object | house flipping |
—
|
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: house flipping | Statement: [Tarek El Moussa, hasTelevisionShowFormat, house flipping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionShowFormat Context triple: [Tarek El Moussa, hasTelevisionShowFormat, house flipping]
-
A.
hasTelevisionSpecialFormat
Indicates that a television special is presented or produced in a particular format or style.
-
B.
hasTVSeriesAdaptation
Indicates that a work has been adapted into a television series.
-
C.
isTelevisionShowType
chosen
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
D.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
E.
hasDirectedTelevision
Indicates that one entity has directed a television production, such as a TV show or episode, involving the other entity.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: May 3, 2026, 4:16 p.m.