Triple
T13601166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forget You |
E324943
|
entity |
| Predicate | hasExplicitOriginal |
P110261
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Forget You, hasExplicitOriginal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExplicitOriginal Context triple: [Forget You, hasExplicitOriginal, true]
-
A.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
B.
hasOriginalLocation
Indicates that an entity was initially located or situated at a specified place or position before any change or movement occurred.
-
C.
hasOriginalPart
Indicates that an entity includes a component or segment that is part of its initial, original composition.
-
D.
hasOriginalPrefix
Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
-
E.
hasOriginalNameOf
Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.