Triple
T1882912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rallo Tubbs |
E39891
|
entity |
| Predicate | networkSeriesRun |
P34343
|
FINISHED |
| Object | 2009–2013 |
—
|
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: 2009–2013 | Statement: [Rallo Tubbs, networkSeriesRun, 2009–2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkSeriesRun Context triple: [Rallo Tubbs, networkSeriesRun, 2009–2013]
-
A.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
C.
reporterSeries
Indicates that a reporter is associated with, contributes to, or is part of a particular series of reports or stories.
-
D.
hostsSeries
Indicates that an entity regularly presents, moderates, or leads a particular series (such as a show, event, or program).
-
E.
networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb4f3fb9481908b54506dc2836124 |
completed | March 7, 2026, 5:17 a.m. |
Created at: March 4, 2026, 7:34 p.m.