Triple
T13387622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gaze |
E319483
|
entity |
| Predicate | hasPageForm |
P169
|
FINISHED |
| Object | chapters |
—
|
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: chapters | Statement: [The Gaze, hasPageForm, chapters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPageForm Context triple: [The Gaze, hasPageForm, chapters]
-
A.
hasPage
Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
-
B.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
D.
hasPolicyPage
Indicates that an entity maintains or is associated with a dedicated policy page, typically outlining rules, terms, or guidelines.
-
E.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.