Triple
T9754502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain B. McCrea |
E236519
|
entity |
| Predicate | learnsAbout |
P22660
|
FINISHED |
| Object | history of Earth |
—
|
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: history of Earth | Statement: [Captain B. McCrea, learnsAbout, history of Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learnsAbout Context triple: [Captain B. McCrea, learnsAbout, history of Earth]
-
A.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
B.
knows
chosen
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
C.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
D.
lessonsLearned
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
E.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.