Triple
T4086405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Jack Horner |
E87594
|
entity |
| Predicate | exclamation |
P4750
|
FINISHED |
| Object | "What a good boy am I!" |
—
|
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: "What a good boy am I!" | Statement: [Little Jack Horner, exclamation, "What a good boy am I!"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exclamation Context triple: [Little Jack Horner, exclamation, "What a good boy am I!"]
-
A.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
-
B.
expresses
chosen
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
C.
expel
Indicates forcing an entity to leave or be removed from a place, group, or situation, typically as a punishment or consequence.
-
D.
upset
Indicates that one entity causes another to feel distressed, unhappy, or emotionally disturbed.
-
E.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.