Triple
T16573859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streamers |
E402658
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Toomey |
E1207826
|
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: Toomey | Statement: [Streamers, notableCharacter, Toomey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toomey Context triple: [Streamers, notableCharacter, Toomey]
-
A.
Toomey
chosen
Toomey is a surname of Irish origin borne by various notable individuals in fields such as entertainment, sports, and politics.
-
B.
John Champion
John Champion was a screenwriter best known for his work on the 1957 disaster film "Zero Hour!", whose plot later served as the basis for the comedy "Airplane!".
-
C.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
D.
Tom Foster
Tom Foster is a Marvel Comics character who becomes the fourth Goliath, gaining size-changing powers through Pym Particles and taking on the legacy of his uncle Bill Foster.
-
E.
Tom Foster
Tom Foster was an activist involved in organizing the 1938 National Day of Mourning, a landmark Indigenous protest highlighting injustices against Aboriginal Australians.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595ab9dc81909b774f6d9c17d6dd |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eea409c8190808170a0b3f4bd17 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.