Triple
T15267996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Porcello |
E364948
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rick |
E767315
|
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: Rick | Statement: [Rick Porcello, nickname, Rick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Context triple: [Rick Porcello, nickname, Rick]
-
A.
Rick
Rick is the common nickname of Rick Adelman, a former professional basketball player and longtime NBA head coach best known for leading the Portland Trail Blazers and Sacramento Kings.
-
B.
Rick
Rick is the introspective, emotionally adrift Hollywood screenwriter who serves as the central figure in Terrence Malick’s film "Knight of Cups."
-
C.
Rick
Rick is the given name of Rick Warren, the American evangelical Christian pastor and author best known for writing "The Purpose Driven Life."
-
D.
Rick
chosen
Rick is a masculine given name, often a short form of Richard, commonly used in English-speaking countries.
-
E.
Rick
Rick is the central protagonist of the British television drama series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee602067c81908b1aaaca8871eeb9 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.