Triple
T14582410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxanne Lee |
E342224
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lost Girl |
E942309
|
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 Girl | Statement: [Roxanne Lee, notableWork, Lost Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Girl Context triple: [Roxanne Lee, notableWork, Lost Girl]
-
A.
Lost Girl
chosen
Lost Girl is a Canadian supernatural drama television series that follows a bisexual succubus named Bo as she learns to control her powers and navigate a hidden world of Fae.
-
B.
Lost Girls
Lost Girls is an erotic graphic novel by Alan Moore and Melinda Gebbie that reimagines three famous literary heroines in explicit, psychologically complex adult narratives.
-
C.
Teen Wolf (TV series)
Teen Wolf is an American supernatural drama television series that follows a high school student turned werewolf as he navigates teenage life, dangerous creatures, and hidden mysteries in his town.
-
D.
Teen Wolf
Teen Wolf is a 1985 comedy film in which a high school student discovers he is a werewolf, starring Michael J. Fox.
-
E.
The Originals
The Originals is a graphic novel by Dave Gibbons that blends retro-futuristic style with a coming-of-age story about youth culture, gangs, and rebellion.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ba235c81909e0408ccf2be9628 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.