Triple
T10468704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayid Jarrah |
E246869
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Lost |
E85538
|
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: Lost | Statement: [Sayid Jarrah, appearsIn, Lost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Context triple: [Sayid Jarrah, appearsIn, Lost]
-
A.
Lost
chosen
Lost is a critically acclaimed American television drama series that blends mystery, science fiction, and character-driven storytelling as it follows survivors of a plane crash on a mysterious island.
-
B.
Cast Away
Cast Away is a 2000 survival drama film starring Tom Hanks as a FedEx executive stranded alone on a deserted island, directed by Robert Zemeckis.
-
C.
Lost Laysen
Lost Laysen is a posthumously published early novella by Margaret Mitchell, best known as the author of Gone with the Wind.
-
D.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
E.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.