Triple
T379847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wizard of Oz |
E8653
|
entity |
| Predicate | hasIconicLine |
P12699
|
FINISHED |
| Object | There's no place like home |
—
|
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: There's no place like home | Statement: [The Wizard of Oz, hasIconicLine, There's no place like home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIconicLine Context triple: [The Wizard of Oz, hasIconicLine, There's no place like home]
-
A.
hasIconicStructure
Indicates that an entity possesses a structure or feature that is widely recognized as emblematic or symbolically representative of it.
-
B.
hasIconicStatus
Indicates that an entity holds a widely recognized, emblematic, or culturally significant status within a particular domain or context.
-
C.
hasIconicArea
Indicates that an entity possesses a distinct, widely recognized area or region that is emblematic or characteristic of it.
-
D.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
E.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2b07248190979229bad3a741c9 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.