Triple
T1747669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strain |
E38370
|
entity |
| Predicate | televisionEndYear |
P214
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [The Strain, televisionEndYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionEndYear Context triple: [The Strain, televisionEndYear, 2017]
-
A.
serializationEndYear
Indicates the year in which the serialization or serialized publication of an entity concluded.
-
B.
endYear
chosen
Indicates the year in which an event, state, or relationship comes to an end.
-
C.
finalReleaseYear
Indicates the calendar year in which something (such as a product, work, or version) is officially released for the last time.
-
D.
televisionAspect
Indicates the aspect ratio or format characteristics of a television display in relation to its width and height proportions.
-
E.
televisionTechnologyUsed
Indicates that a particular television or television-related product operates using, or is based on, a specified technology.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.