Triple
T16044618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Roth |
E389183
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Ula |
E1191193
|
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: Ula | Statement: [Henry Roth, hasFriend, Ula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ula Context triple: [Henry Roth, hasFriend, Ula]
-
A.
Ula
chosen
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
-
B.
Ula
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
-
C.
Ule
Ule is a short form of the German given name Ulrich, often used as a familiar or affectionate nickname.
-
D.
Ulassai
Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
-
E.
Uslar
Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835d1dac819089abec9f0668ec78 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb893f988190a0693564bbe78ca1 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.