Triple
T15424554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Dennison |
E369472
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Dani Dennison |
E323392
|
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: Dani Dennison | Statement: [Max Dennison, sibling, Dani Dennison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Dennison Context triple: [Max Dennison, sibling, Dani Dennison]
-
A.
Dani Dennison
chosen
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
B.
Harmony Parker
Harmony Parker is the imaginative young girl who discovers a magical 50p coin that grants wishes in the children's book and TV series "The Queen's Nose."
-
C.
Samara Morgan
Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
-
D.
Rianne Murtaugh
Rianne Murtaugh is a fictional character in the "Lethal Weapon" film series, known as the eldest daughter of LAPD detective Roger Murtaugh.
-
E.
Emma Eames
Emma Eames was a celebrated American soprano of the late 19th and early 20th centuries, renowned for her performances at the Metropolitan Opera and major European opera houses.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7ed0ec8190b8086f78df965b61 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.