Triple
T34957121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingebrigtsen |
E1008145
|
entity |
| Predicate | hasTelevisionSeriesAbout |
P86961
|
FINISHED |
| Object | Team Ingebrigtsen |
—
|
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: Team Ingebrigtsen | Statement: [Ingebrigtsen, hasTelevisionSeriesAbout, Team Ingebrigtsen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionSeriesAbout Context triple: [Ingebrigtsen, hasTelevisionSeriesAbout, Team Ingebrigtsen]
-
A.
hasAssociatedTVSeries
chosen
Indicates that one entity is linked to another entity that is a related or derived television series.
-
B.
hasTVSeriesAdaptation
Indicates that a work has been adapted into a television series.
-
C.
hasTVSeriesOrigin
Indicates that a TV series originates from, or is based on, a particular source work, context, or location.
-
D.
hasFictionalSeries
Indicates that one entity is a fictional series that another entity possesses, is associated with, or is the creator/owner of.
-
E.
ownsTelevisionSeries
Indicates that an entity holds ownership rights over a particular television series.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4 p.m.