Triple
T7115200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seth |
E165800
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Walkaway |
E31303
|
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: Walkaway | Statement: [Seth, appearsIn, Walkaway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walkaway Context triple: [Seth, appearsIn, Walkaway]
-
A.
Walkaway
chosen
Walkaway is a science fiction novel by Cory Doctorow that explores post-scarcity society, open-source culture, and resistance to surveillance capitalism in a near-future setting.
-
B.
Retreat
Retreat is a residential suburb of Cape Town, South Africa, located on the Cape Flats.
-
C.
The Escape
"The Escape" is a 1914 silent drama film directed by D.W. Griffith, featuring Mae Marsh in a prominent role.
-
D.
World Gone By
World Gone By is a crime novel by Dennis Lehane that follows former mobster Joe Coughlin as he navigates the violent underworld of 1940s Florida and Cuba.
-
E.
The Fallen
The Fallen is an ancient and malevolent Prime who serves as the primary antagonist in the film "Transformers: Revenge of the Fallen," seeking to destroy Earth and harvest its energy.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbfc7a08190ab07f3d65aa79f16 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.