Triple
T32123809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lots-o'-Huggin' Bear |
E820445
|
entity |
| Predicate | backstoryConsequence |
P173601
|
FINISHED |
| Object | developed bitterness toward humans |
—
|
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: developed bitterness toward humans | Statement: [Lots-o'-Huggin' Bear, backstoryConsequence, developed bitterness toward humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backstoryConsequence Context triple: [Lots-o'-Huggin' Bear, backstoryConsequence, developed bitterness toward humans]
-
A.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
B.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
C.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
D.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
E.
expandsBackstoryOf
Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96a22d48190aba271c414a1d926 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:29 a.m.