Triple
T3292239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longford |
E69127
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Rob Lane |
E345117
|
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: Rob Lane | Statement: [Longford, composer, Rob Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Lane Context triple: [Longford, composer, Rob Lane]
-
A.
Rob Lane
chosen
Rob Lane is a British composer best known for his work on film and television scores, including the soundtrack for "The Damned United."
-
B.
Chris Lehane
Chris Lehane is an American political strategist and communications expert known for advising high-profile Democratic campaigns and figures.
-
C.
Sam Lane
Sam Lane is a recurring DC Comics character, typically portrayed as Lois Lane’s strict and often militaristic father who frequently clashes with Superman.
-
D.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07379dc8190b7bb409bcf42bdd6 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a6e0b008190921835b6790e9980 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:10 p.m.