Triple
T22665042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Martino |
E559761
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Tata |
—
|
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: Tata | Statement: [Tata Martino, nickname, Tata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Context triple: [Tata Martino, nickname, Tata]
-
A.
Tata
Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
-
B.
Tata
chosen
Tata is the nickname of Gerardo "Tata" Martino, an Argentine football manager and former player known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
-
C.
Tata
Tata is a historic Hungarian town in Komárom-Esztergom County known for its lakes, castles, and natural surroundings.
-
D.
Tata
Tata is a prominent Indian industrial and philanthropic family best known for founding and leading the multinational conglomerate Tata Group.
-
E.
Tata
Tata is a deity from ancient Illyrian pagan religion, likely associated with primordial or ancestral divine functions within that pantheon.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:08 p.m.