Triple
T14525335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Spellman |
E340759
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spellman |
E340759
|
NE FINISHED |
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: Spellman | Statement: [Francis Spellman, familyName, Spellman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spellman Context triple: [Francis Spellman, familyName, Spellman]
-
A.
Spellman
chosen
Spellman is a surname most notably associated with Francis Spellman, a prominent 20th-century American cardinal of the Roman Catholic Church.
-
B.
Warlock
Warlock is a techno-organic alien mutant in Marvel Comics, best known as a shapeshifting, energy-absorbing member of the New Mutants.
-
C.
Warlock
Warlock is a Hearthstone hero class themed around dark magic and demonic powers, often trading its own health for powerful cards and effects.
-
D.
Warlock
"Warlock" is a historical adventure novel by Wilbur Smith set in ancient Egypt, continuing the saga of the master strategist and mage Taita.
-
E.
Charmcaster
Charmcaster is a recurring villain and powerful magic-wielding sorceress in the Ben 10 animated franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a50324481909713bbf68295e839 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.