Triple
T30901107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the traveler (Ozymandias) |
E787169
|
entity |
| Predicate | reportsSpeechOf |
P48471
|
FINISHED |
| Object | Ozymandias |
—
|
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: Ozymandias | Statement: [the traveler (Ozymandias), reportsSpeechOf, Ozymandias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportsSpeechOf Context triple: [the traveler (Ozymandias), reportsSpeechOf, Ozymandias]
-
A.
reportsSpeechesOf
chosen
Indicates that one entity documents, narrates, or provides accounts of the speeches delivered by another entity.
-
B.
reportsFrom
Indicates that one entity provides information, updates, or status reports to another entity, typically reflecting a reporting or accountability relationship.
-
C.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
D.
givesSpeechOn
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
E.
reportsAs
Indicates that one entity formally reports information, status, or results to another entity.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 8:50 p.m.