Triple
T5343112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creation |
E123988
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jess Hall |
E322054
|
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: Jess Hall | Statement: [Creation, cinematographyBy, Jess Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jess Hall Context triple: [Creation, cinematographyBy, Jess Hall]
-
A.
Jess Hall
chosen
Jess Hall is a British cinematographer known for his visually distinctive work on films such as "Transcendence," "Hot Fuzz," and "Ghost in the Shell."
-
B.
Lee Holloway
Lee Holloway is a software engineer best known as one of the co-founders and early technical architects of the internet security and performance company Cloudflare.
-
C.
Dick Hallorann
Dick Hallorann is the kindly, psychic cook who shares a telepathic "shining" with Danny Torrance and helps him survive the horrors of the Overlook Hotel in Stephen King's horror story.
-
D.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
E.
Skip Hall
Skip Hall is an American politician who serves as the mayor of Surprise, Arizona.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2:01 p.m.