Triple
T23188388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanette Newman |
E579660
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deadfall |
—
|
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: Deadfall | Statement: [Nanette Newman, notableWork, Deadfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deadfall Context triple: [Nanette Newman, notableWork, Deadfall]
-
A.
Deadfall
"Deadfall" is a novel by American author Patti Davis, known for its psychological drama and exploration of complex family relationships.
-
B.
Deadfall
Deadfall is a 1993 neo-noir crime thriller film known for its convoluted plot and an over-the-top performance by Nicolas Cage.
-
C.
Deadfall
chosen
Deadfall is a 1968 British neo-noir crime film known for its intricate heist plot and atmospheric style.
-
D.
Shadow Fall
Shadow Fall is the second novel in Alexander Freed's Alphabet Squadron trilogy, a Star Wars series following a New Republic starfighter unit hunting down Imperial remnants after the fall of the Empire.
-
E.
Threadfall
Threadfall is a deadly, recurring rain of space-borne organisms that devour organic matter in Anne McCaffrey’s Dragonriders of Pern universe, against which dragons and their riders wage aerial battles.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.