Triple
T21719787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Parker |
E536124
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leo |
—
|
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: Leo | Statement: [Leo Parker, givenName, Leo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Context triple: [Leo Parker, givenName, Leo]
-
A.
Leo
Leo is the lion-themed mascot character of Japan’s professional baseball team, the Saitama Seibu Lions.
-
B.
Leo
chosen
Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
-
C.
Leo
Leo is a central character in Noël Coward’s sophisticated stage comedy "Design for Living," embodying the play’s themes of unconventional relationships and bohemian lifestyle.
-
D.
Leo
Leo is a central character in the wuxia film "House of Flying Daggers," known for his complex loyalties and pivotal role in the story’s romantic and political intrigue.
-
E.
Leo
Leo is one of the morbidly humorous child characters in Edward Gorey’s illustrated abecedarian book "The Gashlycrumb Tinies," each of whom meets a darkly comic fate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96de818819084c268d4775a8e3a |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.