Triple
T28315630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quatermass Experiment |
E717127
|
entity |
| Predicate | survivingEpisodes |
P2593
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [The Quatermass Experiment, survivingEpisodes, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingEpisodes Context triple: [The Quatermass Experiment, survivingEpisodes, 2]
-
A.
numberOfEpisodes
chosen
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
B.
revivalNumberOfEpisodes
Indicates the total number of episodes produced for a revived or rebooted version of a series.
-
C.
episodeOfDeath
Indicates the specific event or episode during which an entity’s death occurred.
-
D.
hasEpisodes
Indicates that one entity (typically a series or show) contains or is composed of multiple episode entities.
-
E.
intendedEpisodes
Indicates that one entity is planned or designated to appear in, be used for, or be associated with specific episodes of another entity (such as a series or program).
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 12:20 a.m.