Triple
T17324513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara Corday |
E420650
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Rookie |
E869411
|
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: The Rookie | Statement: [Mara Corday, notableWork, The Rookie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rookie Context triple: [Mara Corday, notableWork, The Rookie]
-
A.
The Rookie
The Rookie is a 2002 sports drama film based on the true story of high school teacher and former pitcher Jim Morris, who makes an unexpected late-in-life debut in Major League Baseball.
-
B.
The Rookie
chosen
The Rookie is a 1959 American comedy film starring and co-written by comedian Frank Stanley.
-
C.
the Rookie
The Rookie is the silent Orbital Drop Shock Trooper player character in Halo 3: ODST, known for navigating a ruined New Mombasa to piece together his squad’s fate.
-
D.
The Rookies
The Rookies is a 1970s American television crime drama series that follows a group of young police officers as they navigate the challenges and dangers of law enforcement.
-
E.
The Underdog
The Underdog is a coming-of-age novel by Australian author Markus Zusak that follows a teenage boy navigating family, identity, and growing up in suburban Sydney.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d18e3081908ca15baa743abcd8 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4a6630819082998cf754e8361f |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.