Triple
T7829077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianna Bryant |
E181320
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Gigi |
E181317
|
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: Gigi | Statement: [Gianna Bryant, nickname, Gigi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gigi Context triple: [Gianna Bryant, nickname, Gigi]
-
A.
Gigi
Gigi is a 1958 American musical romantic comedy film, directed by Vincente Minnelli, that won multiple Academy Awards and is celebrated for its lavish production and memorable score.
-
B.
Gigi
chosen
Gigi was the affectionate nickname of Gianna Bryant, the late daughter of NBA legend Kobe Bryant who was known for her own promising basketball talent.
-
C.
Gigi
Gigi is a resident of the Convent, a communal living space central to Toni Morrison’s novel "Paradise."
-
D.
Annette
Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
-
E.
Annette
Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a854fac8190802599615a0f7bc4 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:44 p.m.