Triple
T13948370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quagmire family |
E335449
|
entity |
| Predicate | hasTragicBackstory |
P16448
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Quagmire family, hasTragicBackstory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTragicBackstory Context triple: [Quagmire family, hasTragicBackstory, true]
-
A.
hasTragicPast
chosen
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
B.
hasTragicEnding
Indicates that the event, story, or situation concludes with a sorrowful, disastrous, or otherwise deeply unfortunate outcome.
-
C.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
D.
hasUnreliableNarrator
Indicates that the story is told by a narrator whose account cannot be fully trusted due to bias, limited knowledge, deception, or instability.
-
E.
hasScar
Indicates that one entity bears or possesses a scar on its body.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.