Triple
T38369954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarmonQuest |
E892549
|
entity |
| Predicate | hasGuestAppearancesFrom |
P168181
|
FINISHED |
| Object | guest comedians |
—
|
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: guest comedians | Statement: [HarmonQuest, hasGuestAppearancesFrom, guest comedians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuestAppearancesFrom Context triple: [HarmonQuest, hasGuestAppearancesFrom, guest comedians]
-
A.
hasGuestAppearances
chosen
Indicates that an entity features one or more appearances by another entity in a guest capacity.
-
B.
hasStudioAlbumAppearance
Indicates that an entity appears as a performer or contributor on a particular studio album.
-
C.
hasPublicAppearancesWith
Indicates that two entities have appeared together in public settings or events.
-
D.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
E.
featuresPerformerCameo
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.