Triple
T16130596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Haas |
E391384
|
entity |
| Predicate | languagesStudied |
P5462
|
FINISHED |
| Object | Tunica |
E280854
|
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: Tunica | Statement: [Mary Haas, languagesStudied, Tunica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunica Context triple: [Mary Haas, languagesStudied, Tunica]
-
A.
Tunica
chosen
The Tunica are a Native American people historically located along the lower Mississippi River in the Southeastern United States, known for their complex chiefdoms and role in regional trade networks.
-
B.
Vastra
Vastra is a Silurian detective from Victorian London who allies with the Doctor in the Eleventh Doctor era of Doctor Who.
-
C.
Cappa
Cappa is the stage name and common nickname of Cappadonna, an American rapper closely associated with the Wu-Tang Clan.
-
D.
Cappa
Cappa is the nickname of Darryl Hill, an individual known primarily under this alias.
-
E.
Vestini
The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020829e88190b51ab32d22cf0259 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2aff07c8190bf693f652e2a2808 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.