Triple
T38311865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romulus |
E1033709
|
entity |
| Predicate | firstOnScreenMention |
P48093
|
FINISHED |
| Object | Star Trek: The Original Series episode "Balance of Terror" |
E1428361
|
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: Star Trek: The Original Series episode "Balance of Terror" | Statement: [Romulus, firstOnScreenMention, Star Trek: The Original Series episode "Balance of Terror"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOnScreenMention Context triple: [Romulus, firstOnScreenMention, Star Trek: The Original Series episode "Balance of Terror"]
-
A.
firstLineMention
Indicates that the entity is mentioned in the first line of the associated text or document.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstMentionedInSeries
chosen
Indicates the work, episode, or installment in a series where a given entity is introduced or appears for the first time.
-
D.
firstOnPageAppearance
Indicates the position where an entity appears for the first time on a given page.
-
E.
firstNamedAppearance
Indicates the point or context in which an entity is first explicitly named or mentioned.
- F. None of above.
Provenance (4 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e12dd548190bc15209b910fe526 |
completed | June 28, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.