Triple
T5214379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Saldana |
E117712
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Gamora |
E199165
|
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: Gamora | Statement: [Zoe Saldana, characterPortrayed, Gamora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamora Context triple: [Zoe Saldana, characterPortrayed, Gamora]
-
A.
Gamora
chosen
Gamora is a skilled assassin and adopted daughter of Thanos who becomes a key member of the Guardians of the Galaxy in the Marvel Cinematic Universe.
-
B.
Jane Foster
Jane Foster is a brilliant astrophysicist and Thor’s primary human love interest in Marvel’s Thor films.
-
C.
Scarlet Witch
Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
-
D.
Wanda
Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
E.
Wanda
Wanda is a fairy godparent character from the animated series "The Fairly OddParents," known for her responsible and level-headed personality.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe325988190b35e3502f147c9c2 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:47 p.m.