Triple
T18854680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organization for Transformative Works |
E461139
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Fanlore
Fanlore is a collaborative, fandom-focused wiki that documents fanworks, fan communities, and fan culture across a wide range of media.
|
E1345068
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Organization for Transformative Works, operates, Fanlore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanlore Context triple: [Organization for Transformative Works, operates, Fanlore]
-
A.
Woolfords
Woolfords is a small rural village in West Lothian, Scotland, situated near the town of West Calder.
-
B.
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.
-
C.
Harlequin
Harlequin is a major publishing imprint best known for its extensive catalog of romance novels and commercial fiction.
-
D.
Harlequin
Harlequin is a classic comic servant character from the Italian commedia dell’arte tradition, known for his colorful diamond-patterned costume, acrobatic antics, and mischievous, witty personality.
-
E.
Myth & Moor
Myth & Moor is Terri Windling’s personal blog exploring myth, folklore, fantasy literature, and the creative life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fanlore Triple: [Organization for Transformative Works, operates, Fanlore]
Generated description
Fanlore is a collaborative, fandom-focused wiki that documents fanworks, fan communities, and fan culture across a wide range of media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fanlore Target entity description: Fanlore is a collaborative, fandom-focused wiki that documents fanworks, fan communities, and fan culture across a wide range of media.
-
A.
Woolfords
Woolfords is a small rural village in West Lothian, Scotland, situated near the town of West Calder.
-
B.
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.
-
C.
Harlequin
Harlequin is a major publishing imprint best known for its extensive catalog of romance novels and commercial fiction.
-
D.
Harlequin
Harlequin is a classic comic servant character from the Italian commedia dell’arte tradition, known for his colorful diamond-patterned costume, acrobatic antics, and mischievous, witty personality.
-
E.
Myth & Moor
Myth & Moor is Terri Windling’s personal blog exploring myth, folklore, fantasy literature, and the creative life.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05677b705c81908bdf6a7bbbb67277 |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a05691c2e8c81908ec65273d8e2f7bd |
completed | May 14, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0569a782c08190b7b09f2926160bbf |
completed | May 14, 2026, 6:20 a.m. |
Created at: April 10, 2026, 11:57 a.m.