Triple
T19093657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Innocents |
E467350
|
entity |
| Predicate | feastAlsoCalled |
P118453
|
FINISHED |
| Object | Childermas |
—
|
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: Childermas | Statement: [Holy Innocents, feastAlsoCalled, Childermas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feastAlsoCalled Context triple: [Holy Innocents, feastAlsoCalled, Childermas]
-
A.
feastTraditionalName
Indicates the traditional or customary name by which a particular feast or celebration is known.
-
B.
feastRelatedTo
Indicates a relationship in which one entity is connected or relevant to a feast, such as by association, participation, context, or thematic linkage.
-
C.
feastDayAlsoKnownAs
chosen
Indicates that a religious or commemorative feast day is referred to by an alternative name or title.
-
D.
feastFollows
Indicates that a feast or celebratory meal occurs after and as a consequence of a preceding event or action.
-
E.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
- F. None of above.
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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34cf5e481908e1f180dacd5602f |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.