Triple
T15535747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Talk Productions |
E370335
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Free Agents |
E756790
|
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: Free Agents | Statement: [Big Talk Productions, notableWork, Free Agents]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Free Agents Context triple: [Big Talk Productions, notableWork, Free Agents]
-
A.
Free Agents
chosen
Free Agents is a short-lived American workplace romantic comedy TV series starring Kathryn Hahn and Hank Azaria, adapted from a British show of the same name.
-
B.
Free Agent
"Free Agent" is a studio album by Brooklyn rapper Joell Ortiz that showcases his lyrical prowess and gritty East Coast hip-hop style.
-
C.
Free’s
"Free’s" is a song featured on the album *Apocalypse*.
-
D.
For Free
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
E.
Free for All
"Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.