Triple
T37555008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theater of Pain |
E933674
|
entity |
| Predicate | maxLevelContentAtRelease |
P187802
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [Theater of Pain, maxLevelContentAtRelease, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxLevelContentAtRelease Context triple: [Theater of Pain, maxLevelContentAtRelease, 60]
-
A.
contentLevel
Indicates the degree or intensity of substance, complexity, or richness present in the associated content.
-
B.
recommendedLevelAtLaunch
chosen
Indicates the level that is advised or expected for an entity at the moment it is first introduced or made available.
-
C.
zoneLevelRangeAtLaunch
Indicates the range of zone levels that apply at the moment something is launched or begins.
-
D.
initialReleaseFor
Indicates that one entity is the first or original release version associated with another entity (such as a work, product, or edition).
-
E.
volumeReleased
Indicates that a specific volume (such as a book, issue, or installment) has been officially released or made publicly available.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.