Triple
T12897666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mankiewicz |
E308536
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Trial |
E558596
|
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: Trial | Statement: [Don Mankiewicz, notableWork, Trial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trial Context triple: [Don Mankiewicz, notableWork, Trial]
-
A.
Trial
chosen
"Trial" is a 1955 courtroom drama film starring Arthur Kennedy, known for its exploration of justice, racism, and political manipulation in a highly charged legal case.
-
B.
Showtrial
Showtrial is a British legal drama television series that follows the intense courtroom and media scrutiny surrounding a high-profile murder case.
-
C.
Mistrial
Mistrial is a 1996 American crime drama film about a New York City police detective who takes a courtroom hostage after a murder suspect is acquitted.
-
D.
Tribunal
Tribunal is a station on the Madrid Metro located in the central district of the city, serving as an important interchange between multiple metro lines.
-
E.
TRY
TRY is the three-letter ISO 4217 currency code for the Turkish lira, the official currency of Türkiye.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55f98c08190b8910b1443841fa7 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.