Triple
T12167038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terri Windling |
E289859
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Wood Wife
The Wood Wife is a mythic fantasy novel by Terri Windling that blends Southwestern desert folklore, art, and mystery into a contemporary tale of transformation.
|
E966745
|
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: The Wood Wife | Statement: [Terri Windling, notableWork, The Wood Wife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wood Wife Context triple: [Terri Windling, notableWork, The Wood Wife]
-
A.
Shepherds of the Trees
Shepherds of the Trees is another name for the Ents, the ancient, tree-like guardians of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
-
B.
Tree of Voices
The Tree of Voices is a sacred, bioluminescent tree on Pandora where the Na’vi commune with the memories and spirits of their ancestors.
-
C.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Long Home
The Long Home is a 2017 American drama film adaptation of William Gay’s novel, featuring Leila George among its ensemble cast.
- 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: The Wood Wife Triple: [Terri Windling, notableWork, The Wood Wife]
Generated description
The Wood Wife is a mythic fantasy novel by Terri Windling that blends Southwestern desert folklore, art, and mystery into a contemporary tale of transformation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Wood Wife Target entity description: The Wood Wife is a mythic fantasy novel by Terri Windling that blends Southwestern desert folklore, art, and mystery into a contemporary tale of transformation.
-
A.
Shepherds of the Trees
Shepherds of the Trees is another name for the Ents, the ancient, tree-like guardians of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
-
B.
Tree of Voices
The Tree of Voices is a sacred, bioluminescent tree on Pandora where the Na’vi commune with the memories and spirits of their ancestors.
-
C.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Long Home
The Long Home is a 2017 American drama film adaptation of William Gay’s novel, featuring Leila George among its ensemble cast.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6018043f48190a3062de4e0d4a3f5 |
completed | May 2, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6023470248190ae9a96d140b28ac1 |
completed | May 2, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:50 p.m.