Triple
T2907268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Plank |
E63595
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Eddie |
E38494
|
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: Eddie | Statement: [Eddie Plank, nickname, Eddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Context triple: [Eddie Plank, nickname, Eddie]
-
A.
Eddie
chosen
Eddie is a common diminutive form of the given name Edward, often used as a familiar or informal nickname.
-
B.
Steady Eddie
Steady Eddie is the nickname of Eddie Murray, a Hall of Fame Major League Baseball first baseman renowned for his consistent hitting and run production.
-
C.
Eddie Brinkman
Eddie Brinkman was an American Major League Baseball shortstop known primarily for his strong defensive play during the 1960s and early 1970s.
-
D.
Eddie Dean
Eddie Dean is a key member of Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series, known as a former heroin addict from New York whose wit and loyalty make him a central and beloved character.
-
E.
Eddy
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d0628c81909680af2f0db2ecae |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b05612e79081908c962c2fe2e362d6 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 6, 2026, 10:11 p.m.