Triple
T2172279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Hamilton |
E48452
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Miss Almira Gulch
Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
|
E239332
|
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: Miss Almira Gulch | Statement: [Margaret Hamilton, notableRole, Miss Almira Gulch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Almira Gulch Context triple: [Margaret Hamilton, notableRole, Miss Almira Gulch]
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Marla
Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
-
C.
River Rose Blackstock
River Rose Blackstock is the daughter of American singer and television personality Kelly Clarkson and her ex-husband Brandon Blackstock.
-
D.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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: Miss Almira Gulch Triple: [Margaret Hamilton, notableRole, Miss Almira Gulch]
Generated description
Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miss Almira Gulch Target entity description: Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Marla
Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
-
C.
River Rose Blackstock
River Rose Blackstock is the daughter of American singer and television personality Kelly Clarkson and her ex-husband Brandon Blackstock.
-
D.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbec98a648190907ef4c6cad916d3 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f6c8c8819081a06861f6133fe9 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5989f054819082f36e5515bec3ca |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a12f11c81908cc345905f0a485e |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.