Triple
T21994194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell Me a Story |
E543161
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Odette Annable |
—
|
NE NERFINISHED |
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: Odette Annable | Statement: [Tell Me a Story, stars, Odette Annable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odette Annable Context triple: [Tell Me a Story, stars, Odette Annable]
-
A.
Odette Annable
chosen
Odette Annable is an American actress known for her roles in television series such as "House," "Supergirl," and "Banshee," as well as films like "Cloverfield."
-
B.
Rebecca Otto
Rebecca Otto is an American politician and former Minnesota State Auditor known for her work on government accountability and fiscal oversight.
-
C.
Annabelle Conroy
Annabelle Conroy is a master con artist and key member of David Baldacci’s political thriller ensemble in the Camel Club series.
-
D.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
E.
Anabel Sims
Anabel Sims is the romantic, marriage-minded young woman who serves as the central protagonist in the classic 1948 romantic comedy film "Every Girl Should Be Married."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:17 p.m.