Triple
T30959128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truffula seed |
E788758
|
entity |
| Predicate | representsForBoy |
P195689
|
FINISHED |
| Object | opportunity to rebuild the forest |
—
|
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: opportunity to rebuild the forest | Statement: [Truffula seed, representsForBoy, opportunity to rebuild the forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsForBoy Context triple: [Truffula seed, representsForBoy, opportunity to rebuild the forest]
-
A.
representsForAndy
Indicates that one entity serves as a representative or acts on behalf of Andy in some context or capacity.
-
B.
representsForRed
Indicates that one entity serves as a representative or proxy specifically on behalf of another entity in a context associated with "Red" (such as a red-labeled group, category, or status).
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
exBoyfriendOf
Indicates that one person was formerly the romantic boyfriend of another person.
-
E.
childRepresents
Indicates that a child entity serves as a representation, proxy, or stand-in for another entity in some context or structure.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: April 29, 2026, 8:54 p.m.