Triple
T37812895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leghorn Blows at Midnight |
E942693
|
entity |
| Predicate | featuresSubplot |
P204402
|
FINISHED |
| Object | Henery Hawk trying to catch a chicken |
—
|
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: Henery Hawk trying to catch a chicken | Statement: [The Leghorn Blows at Midnight, featuresSubplot, Henery Hawk trying to catch a chicken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSubplot Context triple: [The Leghorn Blows at Midnight, featuresSubplot, Henery Hawk trying to catch a chicken]
-
A.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
B.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
C.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
D.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
-
E.
featuresSeries
Indicates that something includes or presents a particular series as part of its content or offering.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.