Triple
T17977224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Elfman |
E449505
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Elfman |
E82976
|
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: Elfman | Statement: [Jenna Elfman, familyName, Elfman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elfman Context triple: [Jenna Elfman, familyName, Elfman]
-
A.
Elfman
chosen
Elfman is the surname of American composer and musician Danny Elfman, renowned for his film scores and work with the band Oingo Boingo.
-
B.
No-Man
No-Man is a British art-pop and ambient rock band known for its atmospheric soundscapes and emotionally introspective songwriting.
-
C.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
-
D.
Svengali
Svengali is a 1983 British television film adaptation of George du Maurier’s novel "Trilby," notable for its psychological drama about a manipulative music teacher who exerts hypnotic control over a young singer.
-
E.
Krammer
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a033019f3ec8190b6781b71ee2aed3b |
completed | May 12, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:22 a.m.