Triple
T8310551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippicae |
E194578
|
entity |
| Predicate | firstSpeechDate |
P7662
|
FINISHED |
| Object | September 44 BC |
—
|
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: September 44 BC | Statement: [Philippicae, firstSpeechDate, September 44 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSpeechDate Context triple: [Philippicae, firstSpeechDate, September 44 BC]
-
A.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
-
B.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
-
C.
speechDate
chosen
Indicates the date on which a particular speech was delivered.
-
D.
firstShowDate
Indicates the date on which something (such as a show, event, or performance) is presented or broadcast for the very first time.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2eecb08190ae0ba8adbaf58c8f |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.