Triple
T9801281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittany Murphy |
E237841
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Spun |
E496781
|
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: Spun | Statement: [Brittany Murphy, appearedIn, Spun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spun Context triple: [Brittany Murphy, appearedIn, Spun]
-
A.
Spun
chosen
Spun is a darkly comic 2002 crime film about methamphetamine addicts, directed by Jonas Åkerlund and featuring Jason Schwartzman in a leading role.
-
B.
Spin
Spin is a line of Acer laptops known for their 2-in-1 convertible designs with 360-degree hinges and touchscreen displays.
-
C.
Spin
Spin is a publication known for its coverage of music, culture, and entertainment.
-
D.
Spinner's End
Spinner's End is a bleak, industrial street in a rundown mill town that serves as Severus Snape’s grim childhood home in the Harry Potter series.
-
E.
The Wheel Spins
The Wheel Spins is a 1936 mystery novel by Ethel Lina White, best known as the source material for Alfred Hitchcock’s classic film The Lady Vanishes.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44a652c81908f644e1a5efe3eb1 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.