Triple
T28675525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chase |
E725851
|
entity |
| Predicate | hasChaser |
P165553
|
FINISHED |
| Object | Mark Labbett |
—
|
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: Mark Labbett | Statement: [The Chase, hasChaser, Mark Labbett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChaser Context triple: [The Chase, hasChaser, Mark Labbett]
-
A.
chaser
chosen
Indicates that one entity is actively pursuing or following another, typically in an attempt to catch or reach it.
-
B.
hasChaseSequence
Indicates that one entity pursues another in a continuous or dynamic chase sequence.
-
C.
chases
Indicates that one entity actively pursues another, typically moving after it in an attempt to catch or reach it.
-
D.
hasCharm
Indicates that an entity possesses or exhibits charm, attractiveness, or an appealing quality.
-
E.
hasChicane
Indicates that one entity incorporates or features a chicane (a sharp, S-shaped bend or series of bends), typically in the context of a track, route, or path.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 5:06 a.m.