Triple
T2820788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luz Long |
E54802
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Long |
E139397
|
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: Long | Statement: [Luz Long, familyName, Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Context triple: [Luz Long, familyName, Long]
-
A.
Long
chosen
Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
-
B.
LongRun
LongRun is Transmeta's dynamic power management technology designed to reduce energy consumption and heat in microprocessors by adjusting voltage and clock speed on the fly.
-
C.
Long Key
Long Key is one of the small islands within Florida’s remote Dry Tortugas National Park, known for its coral reefs, marine life, and historic surroundings in the Gulf of Mexico.
-
D.
Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
-
E.
Long Library
Long Library is an ornate, historically significant library within England’s Blenheim Palace, renowned for its grand architecture and extensive book collection.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde6e85008190a08eb2bf8e393e7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afcea809e48190b22f25a3c8c1acdd |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.