Triple
T25503030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Make it so" |
E639170
|
entity |
| Predicate | relatedCatchphrase |
P188761
|
FINISHED |
| Object | "Engage" |
—
|
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: "Engage" | Statement: ["Make it so", relatedCatchphrase, "Engage"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedCatchphrase Context triple: ["Make it so", relatedCatchphrase, "Engage"]
-
A.
featuresCatchphrase
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
B.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
C.
notableCatchphraseUser
Indicates that the subject is a person who is notably associated with using a particular catchphrase.
-
D.
usedCatchphraseTheme
Indicates that an entity employed a particular catchphrase as a recurring thematic element or motif.
-
E.
becameCatchphraseIn
Indicates that a phrase or expression came to be widely recognized and used as a catchphrase within a particular context, group, or time period.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: April 21, 2026, 2:45 p.m.