Triple
T20449296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra's Project |
E501603
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object | Steve |
—
|
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: Steve | Statement: [Alexandra's Project, hasProtagonist, Steve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Context triple: [Alexandra's Project, hasProtagonist, Steve]
-
A.
Steve
Steve is the central protagonist of the romantic comedy film "Him & Her," around whom the story’s relationships and conflicts revolve.
-
B.
Steve
Steve is the given name of Steve Bartek, an American guitarist, composer, and longtime collaborator with the band Oingo Boingo and film composer Danny Elfman.
-
C.
Steve
Steve Fossett was an American businessman and record-setting adventurer best known for his solo nonstop balloon flight around the world and numerous aviation and sailing records.
-
D.
Steve
Steve is the given name of Steve Tikolo, a renowned former Kenyan cricketer and captain widely regarded as one of Africa’s greatest batsmen.
-
E.
Steve
chosen
Steve is the central protagonist of the story in Alexandra's Project, around whom the film’s psychological drama and tension revolve.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfffae4819086c727f4143c2737 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.