Triple
T3416258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Meddler |
E72014
|
entity |
| Predicate | hasEpisodeCountPerSerial |
P2593
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [The Time Meddler, hasEpisodeCountPerSerial, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodeCountPerSerial Context triple: [The Time Meddler, hasEpisodeCountPerSerial, 4]
-
A.
numberOfEpisodes
chosen
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
B.
hasEpisodeStructure
Indicates that one entity defines or possesses the episodic organization, sequencing, or structural pattern of another (such as a series, season, or narrative work).
-
C.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
downsPerSeries
Indicates the number of downs that occur within a single offensive series or possession.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92ae6148190958d6bb735258cab |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.