Triple
T25503014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Make it so" |
E639170
|
entity |
| Predicate | associatedSeriesEra |
P71381
|
FINISHED |
| Object | late 1980s |
—
|
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: late 1980s | Statement: ["Make it so", associatedSeriesEra, late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSeriesEra Context triple: ["Make it so", associatedSeriesEra, late 1980s]
-
A.
associatedProductionEra
Indicates a relationship where something is linked to the specific time period or era during which it was produced or created.
-
B.
notableSeriesEra
chosen
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
C.
associatedWithEraStar
Indicates a relationship where something is linked or connected to a particular era of a star’s existence or development.
-
D.
associatedWithNotableEra
Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 21, 2026, 2:45 p.m.