Triple
T36413452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House (TV series) pilot episode |
E896941
|
entity |
| Predicate | depictsTraitOfProtagonist |
P21469
|
FINISHED |
| Object | misanthropy |
—
|
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: misanthropy | Statement: [House (TV series) pilot episode, depictsTraitOfProtagonist, misanthropy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsTraitOfProtagonist Context triple: [House (TV series) pilot episode, depictsTraitOfProtagonist, misanthropy]
-
A.
protagonistCharacteristic
chosen
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
B.
portraysRoleTrait
Indicates that one entity depicts or represents a particular role or character trait of another entity.
-
C.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
D.
portraysMainCharacter
Indicates that one entity depicts or represents another entity as the primary or central character in a work or narrative.
-
E.
hasNotableTraitInPlot
Indicates that a character or entity possesses a distinctive trait that plays a significant role within the narrative or plot.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:10 p.m.