Triple
T30084275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Hate-Good |
E764558
|
entity |
| Predicate | attitudeTowardPilgrims |
P159371
|
FINISHED |
| Object | hostile |
—
|
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: hostile | Statement: [Lord Hate-Good, attitudeTowardPilgrims, hostile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardPilgrims Context triple: [Lord Hate-Good, attitudeTowardPilgrims, hostile]
-
A.
attitudeTowardIndians
Indicates a person's stance, feelings, or opinions directed toward Indians as a group.
-
B.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
-
C.
attitudeTowardOthers
chosen
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
D.
attitudeTowardChristmas
Indicates a person's feelings, opinions, or general disposition regarding Christmas.
-
E.
attitudeTowardTemple
Indicates a person’s stance, feeling, or disposition toward a particular temple.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:03 p.m.