Triple
T18854690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organization for Transformative Works |
E461139
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fanlore wiki |
—
|
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: Fanlore wiki | Statement: [Organization for Transformative Works, notableWork, Fanlore wiki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanlore wiki Context triple: [Organization for Transformative Works, notableWork, Fanlore wiki]
-
A.
Fanlore
chosen
Fanlore is a collaborative, fandom-focused wiki that documents fanworks, fan communities, and fan culture across a wide range of media.
-
B.
Woolfords
Woolfords is a small rural village in West Lothian, Scotland, situated near the town of West Calder.
-
C.
Phaedra Britannica
Phaedra Britannica is a modern verse drama by British poet and playwright Tony Harrison that reimagines the classical Phaedra myth in a colonial Indian setting.
-
D.
Arthurian legend
Arthurian legend is the body of medieval stories and later adaptations centered on King Arthur, the Knights of the Round Table, and the mythical realm of Camelot.
-
E.
Harlequin
Harlequin is a major publishing imprint best known for its extensive catalog of romance novels and commercial fiction.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05c16e88190a08b6a8b94e1c9f9 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.