Triple
T27410533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Hess |
E692133
|
entity |
| Predicate | speechRelatedTo |
P35243
|
FINISHED |
| Object | anti–Vietnam War protest |
—
|
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: anti–Vietnam War protest | Statement: [Gregory Hess, speechRelatedTo, anti–Vietnam War protest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speechRelatedTo Context triple: [Gregory Hess, speechRelatedTo, anti–Vietnam War protest]
-
A.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
B.
speechContent
chosen
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
-
C.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
D.
speechAlsoKnownAs
Indicates that a speech or spoken work is referred to by an alternative name, title, or alias.
-
E.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cda84c48190bfd814c4ae7a9c60 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:32 p.m.