Triple
T20898077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Hallow |
E514594
|
entity |
| Predicate | classmateOf |
P49703
|
FINISHED |
| Object | Maud Spellbody |
—
|
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: Maud Spellbody | Statement: [Ethel Hallow, classmateOf, Maud Spellbody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maud Spellbody Context triple: [Ethel Hallow, classmateOf, Maud Spellbody]
-
A.
Maud Spellbody
chosen
Maud Spellbody is a loyal, studious young witch and close friend of protagonist Mildred Hubble in the children’s fantasy series *The Worst Witch*.
-
B.
Maud Sampson
Maud Sampson is an individual interred at the Texas State Cemetery, a burial ground reserved for notable Texans and figures of historical significance to the state.
-
C.
Maud Brewster
Maud Brewster is a cultured and resilient poet and literary critic who becomes a central figure and love interest amid the brutal sea adventure in Jack London’s novel "The Sea-Wolf."
-
D.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
E.
Magdalene Shaw
Magdalene Shaw is a sharp-witted, tough matriarch and career criminal in the Fast & Furious franchise, known as the mother of Deckard and Owen Shaw.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.