Triple
T18548331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Fahey |
E453295
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lost |
—
|
NE NERFINISHED |
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: [Jeff Fahey, notableWork, Lost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Context triple: [Jeff Fahey, notableWork, Lost]
-
A.
Lost
"Lost" is a song by American singer-songwriter Zola Jesus, known for its dark, atmospheric sound and emotionally intense vocals.
-
B.
Lost
"Lost" is a popular hip hop single by American rapper Gorilla Zoe that gained attention for its introspective lyrics and melodic, auto-tuned style.
-
C.
Lost
"Lost" is a song featured on the inspirational music album "Rise Up."
-
D.
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.
-
E.
Lost
"Lost" is a track by the American metal band Enemy of the Sun, known for its heavy, groove-oriented sound and dark, introspective atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.