Triple
T9429797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerie Xerox |
E227342
|
entity |
| Predicate | associatedWithShow |
P2830
|
FINISHED |
| Object |
TGS
TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
|
E799629
|
NE FINISHED |
How this triple was built (4 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: TGS | Statement: [Cerie Xerox, associatedWithShow, TGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGS Context triple: [Cerie Xerox, associatedWithShow, TGS]
-
A.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
-
B.
Electronic Entertainment Expo
The Electronic Entertainment Expo (E3) is a major annual trade event where video game publishers, developers, and hardware manufacturers showcase upcoming games and gaming technologies to industry professionals and media.
-
C.
PAX West
PAX West is a major annual gaming convention in Seattle that showcases video games, tabletop games, industry panels, and fan events.
-
D.
GTS
GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
-
E.
GTS
GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TGS Triple: [Cerie Xerox, associatedWithShow, TGS]
Generated description
TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGS Target entity description: TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
-
A.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
-
B.
Electronic Entertainment Expo
The Electronic Entertainment Expo (E3) is a major annual trade event where video game publishers, developers, and hardware manufacturers showcase upcoming games and gaming technologies to industry professionals and media.
-
C.
PAX West
PAX West is a major annual gaming convention in Seattle that showcases video games, tabletop games, industry panels, and fan events.
-
D.
GTS
GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
-
E.
GTS
GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
- F. None of above. chosen
Provenance (5 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d111a770c881909a2902d36cd7913c |
completed | April 4, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 7:49 p.m.