Triple
T17043946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story Films |
E413515
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Sixth Commandment |
E1202902
|
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 Sixth Commandment | Statement: [Story Films, notableWork, The Sixth Commandment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Sixth Commandment Context triple: [Story Films, notableWork, The Sixth Commandment]
-
A.
The Sixth Commandment
chosen
The Sixth Commandment is a crime novel by Lawrence Sanders featuring a complex investigation into murder and moral corruption.
-
B.
The Tenth Commandment
The Tenth Commandment is a crime novel by American author Lawrence Sanders, featuring a suspenseful investigation into greed, corruption, and murder.
-
C.
Thou Shalt Not
Thou Shalt Not is a Broadway musical, directed and choreographed by Susan Stroman, loosely based on Émile Zola’s novel "Thérèse Raquin."
-
D.
The Men Commandments
The Men Commandments is a humorous, advice-style book by radio presenter Christian O'Connell that explores modern masculinity and the unwritten rules of being a man.
-
E.
The Law Commands
"The Law Commands" is a 1937 American Western film starring Tom Keene as a principled lawman battling corruption and injustice on the frontier.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9c112c81908232dc6908d831cf |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233a7e44819096f71f5007b4450f |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.