Triple
T17324468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Robertson |
E420649
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Iron Horse |
E804331
|
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: Iron Horse | Statement: [Dale Robertson, notableWork, Iron Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Horse Context triple: [Dale Robertson, notableWork, Iron Horse]
-
A.
The Iron Horse
The Iron Horse is the legendary New York Yankees first baseman Lou Gehrig, renowned for his durability, power hitting, and record-setting consecutive games played streak.
-
B.
The Iron Horse
chosen
The Iron Horse is a 1924 silent Western film directed by John Ford that dramatizes the building of the first transcontinental railroad in the United States.
-
C.
Big Iron
Big Iron is a prominent peak in California’s San Gabriel Mountains, known for its steep, strenuous hiking routes and expansive views over the surrounding range.
-
D.
Black Horse
Black Horse is a UK-based finance company best known for providing motor and other consumer finance services as part of the Lloyds Banking Group.
-
E.
Black Horse
"Black Horse" is a song by the British art rock band Camoufleur.
- 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.