Triple
T9726942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Heisler |
E235636
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Chain Lightning |
E816565
|
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: Chain Lightning | Statement: [Stuart Heisler, directed, Chain Lightning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chain Lightning Context triple: [Stuart Heisler, directed, Chain Lightning]
-
A.
Chain Lightning
chosen
Chain Lightning is a 1950 American aviation drama film starring Humphrey Bogart as a test pilot pushing the limits of experimental jet aircraft.
-
B.
Lightning Network
The Lightning Network is a second-layer protocol built on top of Bitcoin that enables fast, low-cost, off-chain transactions through a network of payment channels.
-
C.
Zcash
Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
-
D.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
E.
Segregated Witness
Segregated Witness is a Bitcoin protocol upgrade that separates signature data from transaction data to increase block capacity, improve scalability, and fix transaction malleability.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e798c348190885b79d7dffc9d8d |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afb089e48190a14ed0c0f81872c7 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:21 p.m.