Triple
T27619759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bachelor UK |
E700542
|
entity |
| Predicate | contestantGoal |
P32840
|
FINISHED |
| Object | form a romantic relationship with the bachelor |
—
|
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: form a romantic relationship with the bachelor | Statement: [The Bachelor UK, contestantGoal, form a romantic relationship with the bachelor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contestantGoal Context triple: [The Bachelor UK, contestantGoal, form a romantic relationship with the bachelor]
-
A.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
B.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
-
C.
statedAsGoalFor
chosen
Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
-
D.
competitionGoal
Indicates that one entity’s objective or desired outcome is defined in the context of a competition involving another entity.
-
E.
goalOfTrials
Indicates that the specified goal is the intended objective or outcome that the trials are designed to achieve or evaluate.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 2:14 p.m.