Triple
T5400950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last of the American Girls |
E120772
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Marc Webb |
E464242
|
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: Marc Webb | Statement: [Last of the American Girls, musicVideoDirector, Marc Webb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Webb Context triple: [Last of the American Girls, musicVideoDirector, Marc Webb]
-
A.
Marc Webb
chosen
Marc Webb is an American filmmaker best known for directing the superhero movies "The Amazing Spider-Man" and its sequel, as well as the romantic drama "(500) Days of Summer."
-
B.
Peyton Reed
Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
-
C.
Rupert Sanders
Rupert Sanders is a British film director best known for making his feature debut with the dark fantasy film "Snow White and the Huntsman."
-
D.
Gareth Edwards
Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
-
E.
Gareth Edwards
Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8771b25c819080da247bc3164cd9 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3383b360819087447e6813c45edf |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.