Triple
T7117452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terence Crawford |
E165854
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Terence |
E18100
|
NE 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: Terence | Statement: [Terence Crawford, givenName, Terence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terence Context triple: [Terence Crawford, givenName, Terence]
-
A.
Terence
chosen
Terence is a masculine given name of Latin origin, historically associated with figures such as the Roman playwright Terence and later borne by notable individuals including the British dramatist Terence Rattigan.
-
B.
Plautus
Plautus was a Roman playwright of the Old Latin period, best known for his influential comedies that adapted and popularized Greek New Comedy for Roman audiences.
-
C.
Senec
Senec is a small town in western Slovakia known for its recreational lakes and proximity to Bratislava.
-
D.
Persius
Persius was a 1st-century Roman Stoic poet best known for his six dense, morally charged verse satires critiquing social and literary corruption.
-
E.
Terentius
Terentius is an ancient Roman family name (nomen) that gave rise to the later surname Terence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e618bdac8190be291468b7d977bb |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cc2bf2081908e912f26f29394bf |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.