Triple
T25489015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith’s 50th Birthday |
E638787
|
entity |
| Predicate | landmarkEpisodeFor |
P2757
|
FINISHED |
| Object | All in the Family |
—
|
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: All in the Family | Statement: [Edith’s 50th Birthday, landmarkEpisodeFor, All in the Family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landmarkEpisodeFor Context triple: [Edith’s 50th Birthday, landmarkEpisodeFor, All in the Family]
-
A.
notableEpisode
chosen
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
B.
notableEpisodeEvent
Indicates that an event is especially significant or noteworthy within the context of a particular episode.
-
C.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
-
D.
memorialEpisode
Indicates that an episode or segment is dedicated to remembering or honoring a person, event, or subject.
-
E.
specialEpisodeAirDate
Indicates the calendar date on which a special episode is broadcast or made available to the public.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:34 p.m.