Triple
T5128536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minerva McGonagall |
E115638
|
entity |
| Predicate | predecessorAsHeadOfGryffindor |
P62700
|
FINISHED |
| Object | none (first known in series) |
—
|
LITERAL 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: none (first known in series) | Statement: [Minerva McGonagall, predecessorAsHeadOfGryffindor, none (first known in series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsHeadOfGryffindor Context triple: [Minerva McGonagall, predecessorAsHeadOfGryffindor, none (first known in series)]
-
A.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
B.
predecessorAsPretender
Indicates that one entity previously held the status or role of pretender (claimant) to a title, position, or throne before another entity.
-
C.
predecessorAvatar
Indicates that one avatar existed or was used before another avatar in a temporal or version sequence.
-
D.
predecessorAsKingOfIreland
Indicates that one person previously held the position of King of Ireland immediately before another person.
-
E.
predecessorCEO
Indicates that one person previously held the position of CEO before another specific person.
- F. None of above. chosen
Provenance (4 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:42 p.m.