Triple
T8605308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alessandra Ambrosio |
E203781
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object | Guess |
E219173
|
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: Guess | Statement: [Alessandra Ambrosio, modeledFor, Guess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guess Context triple: [Alessandra Ambrosio, modeledFor, Guess]
-
A.
Guess
chosen
Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
-
B.
Guess Who
Guess Who is a song by the American rock band Alabama Shakes from their critically acclaimed album "Sound & Color."
-
C.
Play Your Hunch
Play Your Hunch was an American television game show, best remembered as an early hosting vehicle for Merv Griffin and for its panel-style guessing and deduction format.
-
D.
Doub
Doub is a character in August Wilson’s play "Jitney," one of the drivers at the unlicensed cab station whose personal struggles and interactions help illuminate the play’s themes of community, change, and survival in 1970s Pittsburgh.
-
E.
Duda
Duda is a Polish surname most prominently associated with Andrzej Duda, the President of Poland.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46e9b6a881908f6a6c847519e5e5 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea900cf708190abb550f592edbdf6 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:24 p.m.