Triple
T11659075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Golem |
E277077
|
entity |
| Predicate | sometimesGives |
P93367
|
FINISHED |
| Object | poppy to baby villagers |
—
|
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: poppy to baby villagers | Statement: [Iron Golem, sometimesGives, poppy to baby villagers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesGives Context triple: [Iron Golem, sometimesGives, poppy to baby villagers]
-
A.
sometimesSpeaks
Indicates that one entity speaks to or communicates with another only on some occasions, rather than regularly or consistently.
-
B.
oftenProvides
Indicates that one entity frequently or regularly supplies, offers, or makes another entity available.
-
C.
occasionalRange
Indicates that the relationship or action occurs intermittently or at irregular intervals within a specified range or context.
-
D.
typicallySpared
Indicates that an entity is usually not affected by, excluded from, or left untouched by a particular action, process, or condition.
-
E.
sometimesEngageIn
chosen
Indicates that one entity engages in or performs an action or relationship with another entity on an occasional or intermittent basis, rather than consistently or always.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.