Triple
T35008912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See-More |
E1009893
|
entity |
| Predicate | firstAppearedInFranchise |
P57780
|
FINISHED |
| Object | Teen Titans (animated series) |
E63680
|
NE 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: Teen Titans (animated series) | Statement: [See-More, firstAppearedInFranchise, Teen Titans (animated series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearedInFranchise Context triple: [See-More, firstAppearedInFranchise, Teen Titans (animated series)]
-
A.
firstAppearanceFranchise
chosen
Indicates the franchise in which an entity made its first appearance.
-
B.
firstAppearanceFilm
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
C.
firstAppearanceInSpinoff
Indicates that an entity makes its first appearance within a derivative or spinoff work rather than in the original work.
-
D.
firstAppearanceGames
Indicates the games in which an entity (such as a character, item, or concept) made its first appearance.
-
E.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
- F. None of above.
Provenance (4 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39cfac0f0081909ea94851419ad716 |
completed | June 23, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.