Triple
T29096721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted the bellhop |
E735024
|
entity |
| Predicate | segmentAppearance |
P166311
|
FINISHED |
| Object | The Missing Ingredient |
—
|
NE NERFINISHED |
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: The Missing Ingredient | Statement: [Ted the bellhop, segmentAppearance, The Missing Ingredient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentAppearance Context triple: [Ted the bellhop, segmentAppearance, The Missing Ingredient]
-
A.
describesAppearanceOf
Indicates that one entity provides information about the visual characteristics or outward look of another entity.
-
B.
coreAppearance
Indicates that one entity serves as the primary or defining visual form or look of another entity.
-
C.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
-
D.
typicalAppearanceContext
Indicates the usual situation, setting, or context in which an entity most commonly appears or is typically encountered.
-
E.
photographicAppearance
Indicates that one entity visually appears in a photograph or photographic representation 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6618129b08190ac4bbb0cd24d957c |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:09 a.m.