Triple
T2951873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEICO |
E79837
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | GEICO Gecko |
E313804
|
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: GEICO Gecko | Statement: [GEICO, hasMascot, GEICO Gecko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEICO Gecko Context triple: [GEICO, hasMascot, GEICO Gecko]
-
A.
GEICO
GEICO is a major American auto insurance company best known for its direct-to-consumer model and iconic advertising campaigns featuring the GEICO Gecko.
-
B.
GEICO Gecko advertising mascot
chosen
The GEICO Gecko advertising mascot is a small, green, anthropomorphic gecko character featured in humorous commercials promoting GEICO insurance.
-
C.
Allstate
Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
-
D.
Hertz
Hertz is a German surname most famously associated with physicist Heinrich Hertz, after whom the unit of frequency is named.
-
E.
Hertz
Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108dae9ac8190b72faf84e75a60c7 |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 8, 2026, 2:57 p.m.