Triple
T11715265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Allen |
E278479
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Deadly Tower |
E785343
|
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: The Deadly Tower | Statement: [Nancy Allen, notableWork, The Deadly Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Deadly Tower Context triple: [Nancy Allen, notableWork, The Deadly Tower]
-
A.
The Deadly Tower
chosen
The Deadly Tower is a 1975 made-for-television crime drama film about the 1966 University of Texas tower shooting.
-
B.
Trail of the Madman
Trail of the Madman is an episode of the classic first-person shooter game Wolfenstein 3D, featuring a series of Nazi-filled levels centered on fast-paced maze-like combat and exploration.
-
C.
The Ravine
The Ravine is a wooded, stream-carved gorge in Brooklyn’s Prospect Park that evokes a natural forest landscape within the urban park.
-
D.
The Ravine
The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
-
E.
Breakheart Pass
Breakheart Pass is a 1974 thriller novel by Alistair MacLean that blends mystery and Western elements aboard a snowbound train in 19th-century America.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8397a4ac8190a71dfdd53bfa168a |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.